Triple
T3984444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMT Broadway Line |
E86837
|
entity |
| Predicate | formerServices |
P43939
|
FINISHED |
| Object | B |
—
|
LITERAL FINISHED |
How this triple was built (2 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: B | Statement: [BMT Broadway Line, formerServices, B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerServices Context triple: [BMT Broadway Line, formerServices, B]
-
A.
formerServicePattern
chosen
Indicates that an entity previously provided a particular service or operated under a specific service pattern, but no longer does so.
-
B.
hasFormerService
Indicates that an entity previously provided a service to another entity but no longer does so.
-
C.
formerlyConfiguration
Indicates that one entity was previously configured or arranged in the state or setup represented by the other entity, but is no longer so.
-
D.
formerName
Indicates that an entity was previously known by a different name in the past.
-
E.
formerFunction
Indicates that an entity previously held a specific role, position, or function but no longer does so.
- F. None of above.
Provenance (3 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.