Triple
T12014622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Lee, Introduction to Smooth Manifolds |
E285992
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
GTM 218
GTM 218 is the standard abbreviation for John M. Lee’s widely used graduate-level textbook "Introduction to Smooth Manifolds" in the Springer Graduate Texts in Mathematics series.
|
E960690
|
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: GTM 218 | Statement: [J. Lee, Introduction to Smooth Manifolds, abbreviation, GTM 218]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GTM 218 Context triple: [J. Lee, Introduction to Smooth Manifolds, abbreviation, GTM 218]
-
A.
GTM
GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
-
B.
GTM
GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
-
C.
GVT
GVT is the station code for Government Center, a major Metrorail transit hub in downtown Miami, Florida.
-
D.
GTC
GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
-
E.
GTS
GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
- 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: GTM 218 Triple: [J. Lee, Introduction to Smooth Manifolds, abbreviation, GTM 218]
Generated description
GTM 218 is the standard abbreviation for John M. Lee’s widely used graduate-level textbook "Introduction to Smooth Manifolds" in the Springer Graduate Texts in Mathematics series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GTM 218 Target entity description: GTM 218 is the standard abbreviation for John M. Lee’s widely used graduate-level textbook "Introduction to Smooth Manifolds" in the Springer Graduate Texts in Mathematics series.
-
A.
GTM
GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
-
B.
GTM
GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
-
C.
GVT
GVT is the station code for Government Center, a major Metrorail transit hub in downtown Miami, Florida.
-
D.
GTC
GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
-
E.
GTS
GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b4535f48190ac5b2cabb4daf4af |
completed | May 1, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69f490cb9328819095481a4d0fb0c625 |
completed | May 1, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495cc50908190aab4f8ca64c66ef3 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:46 p.m.