Triple
T10092296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM T1 platform |
E215371
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
T1XX platform
The T1XX platform is General Motors’ modular vehicle architecture designed to underpin a range of compact and midsize crossover SUVs across its global brands.
|
E839841
|
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: T1XX platform | Statement: [GM T1 platform, alsoKnownAs, T1XX platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T1XX platform Context triple: [GM T1 platform, alsoKnownAs, T1XX platform]
-
A.
Platform 1
Platform 1 is one of the passenger platforms at Widnes railway station in Cheshire, England, used for boarding and alighting from trains serving the station.
-
B.
Platform 1
Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
-
C.
Platform 1
Platform 1 is one of the passenger boarding platforms at Brentford railway station in London, serving trains on the local rail network.
-
D.
Platform 1
Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
-
E.
Platform 1
Platform 1 is one of the passenger train platforms at Southampton Central railway station in Southampton, England.
- 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: T1XX platform Triple: [GM T1 platform, alsoKnownAs, T1XX platform]
Generated description
The T1XX platform is General Motors’ modular vehicle architecture designed to underpin a range of compact and midsize crossover SUVs across its global brands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T1XX platform Target entity description: The T1XX platform is General Motors’ modular vehicle architecture designed to underpin a range of compact and midsize crossover SUVs across its global brands.
-
A.
Platform 1
Platform 1 is one of the passenger platforms at Widnes railway station in Cheshire, England, used for boarding and alighting from trains serving the station.
-
B.
Platform 1
Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
-
C.
Platform 1
Platform 1 is one of the passenger boarding platforms at Brentford railway station in London, serving trains on the local rail network.
-
D.
Platform 1
Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
-
E.
Platform 1
Platform 1 is one of the passenger train platforms at Southampton Central railway station in Southampton, England.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05c3c0c8190927580717429a4e5 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6aecc488190a9af098f687327ed |
completed | April 5, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_69d2b7bb88348190a39908b34b7419b2 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b81e7b948190baa417186aac284b |
completed | April 5, 2026, 7:29 p.m. |
Created at: March 30, 2026, 9:01 p.m.