Triple
T15287844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharamsinh Desai University |
E365449
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DDU
DDU is an engineering- and technology-focused university in Nadiad, Gujarat, India, offering a range of undergraduate and postgraduate programs.
|
E1148958
|
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: DDU | Statement: [Dharamsinh Desai University, abbreviation, DDU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DDU Context triple: [Dharamsinh Desai University, abbreviation, DDU]
-
A.
LDDU
LDDU is the ICAO airport code for Dubrovnik Airport, the main international airport serving Dubrovnik, Croatia.
-
B.
DDC
DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
-
C.
DDC
DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
-
D.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
-
E.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
- 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: DDU Triple: [Dharamsinh Desai University, abbreviation, DDU]
Generated description
DDU is an engineering- and technology-focused university in Nadiad, Gujarat, India, offering a range of undergraduate and postgraduate programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DDU Target entity description: DDU is an engineering- and technology-focused university in Nadiad, Gujarat, India, offering a range of undergraduate and postgraduate programs.
-
A.
LDDU
LDDU is the ICAO airport code for Dubrovnik Airport, the main international airport serving Dubrovnik, Croatia.
-
B.
DDC
DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
-
C.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
-
D.
DDC
DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
-
E.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef38868548190877cf25a38bb805a |
completed | May 9, 2026, 8:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef435b1208190bd839297a2f8d3f4 |
completed | May 9, 2026, 8:45 a.m. |
Created at: April 10, 2026, 3:15 a.m.