Triple
T2175296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DocBook |
E48511
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
DITA
DITA (Darwin Information Typing Architecture) is an XML-based standard for authoring, structuring, and publishing modular technical documentation.
|
E242854
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DITA | Statement: [DocBook, relatedTo, DITA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DITA Context triple: [DocBook, relatedTo, DITA]
-
A.
DTD
DTD (Document Type Definition) is an XML schema language used to define the legal structure, elements, and attributes of an XML document.
-
B.
DocBook
DocBook is a semantic markup language, originally based on SGML and now commonly used in XML form, designed for authoring and publishing technical documentation and books in a platform-independent way.
-
C.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
D.
DIB
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
-
E.
RDA
RDA (Resource Description and Access) is a modern international cataloguing standard used by libraries to describe and provide access to information resources in both digital and physical formats.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DITA Triple: [DocBook, relatedTo, DITA]
Generated description
DITA (Darwin Information Typing Architecture) is an XML-based standard for authoring, structuring, and publishing modular technical documentation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DITA Target entity description: DITA (Darwin Information Typing Architecture) is an XML-based standard for authoring, structuring, and publishing modular technical documentation.
-
A.
DTD
DTD (Document Type Definition) is an XML schema language used to define the legal structure, elements, and attributes of an XML document.
-
B.
DocBook
DocBook is a semantic markup language, originally based on SGML and now commonly used in XML form, designed for authoring and publishing technical documentation and books in a platform-independent way.
-
C.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
D.
DIB
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
-
E.
RDA
RDA (Resource Description and Access) is a modern international cataloguing standard used by libraries to describe and provide access to information resources in both digital and physical formats.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbece30888190936853740ff6cb02 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d9eff988190a02734bd73616cba |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e5f023081909cd046b5850f8026 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ef99018819083a778378ea493e8 |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:45 p.m.