Triple
T10825971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python Developer Guide |
E255498
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Devguide
Devguide is the official Python Developer Guide, providing documentation and guidelines for contributing to the development of the Python programming language.
|
E888277
|
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: Devguide | Statement: [Python Developer Guide, shortName, Devguide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devguide Context triple: [Python Developer Guide, shortName, Devguide]
-
A.
Devio
Devio is a Biamp Systems product line of conferencing solutions designed to simplify high-quality audio and video collaboration in small meeting and huddle rooms.
-
B.
Deva
Deva is a prominent Indian film music composer best known for his prolific work in Tamil cinema during the 1990s and early 2000s.
-
C.
Deva
Deva is the Roman-era name for the ancient fortress and settlement that later became the modern English city of Chester.
-
D.
Deva
Deva is a city in western Romania known for its historic fortress and location near the Mureș River in Transylvania.
-
E.
Divya Desam
Divya Desam refers to the group of 108 sacred Vishnu temples revered in the Tamil Alvar saints’ hymns, primarily located in South India.
- 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: Devguide Triple: [Python Developer Guide, shortName, Devguide]
Generated description
Devguide is the official Python Developer Guide, providing documentation and guidelines for contributing to the development of the Python programming language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Devguide Target entity description: Devguide is the official Python Developer Guide, providing documentation and guidelines for contributing to the development of the Python programming language.
-
A.
Devio
Devio is a Biamp Systems product line of conferencing solutions designed to simplify high-quality audio and video collaboration in small meeting and huddle rooms.
-
B.
Deva
Deva is the Roman-era name for the ancient fortress and settlement that later became the modern English city of Chester.
-
C.
Deva
Deva is a city in western Romania known for its historic fortress and location near the Mureș River in Transylvania.
-
D.
Deva
Deva is a prominent Indian film music composer best known for his prolific work in Tamil cinema during the 1990s and early 2000s.
-
E.
Divya Desam
Divya Desam refers to the group of 108 sacred Vishnu temples revered in the Tamil Alvar saints’ hymns, primarily located in South India.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d1c24881909f56d56207cccbef |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de858672d8819094baf4fe98b8dea4 |
completed | April 14, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_69de8e70da448190b80068fea047a88c |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de94dd45548190a88b5ab991756d12 |
completed | April 14, 2026, 7:26 p.m. |
Created at: April 8, 2026, 9:19 p.m.