Triple
T35882159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R45 |
E1037538
|
entity |
| Predicate | associatedStationDivision |
P65507
|
FINISHED |
| Object | BMT Division |
E97262
|
NE 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: BMT Division | Statement: [R45, associatedStationDivision, BMT Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedStationDivision Context triple: [R45, associatedStationDivision, BMT Division]
-
A.
associatedStation
chosen
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
B.
associatedStationCategory
Indicates that one entity is linked to, or classified under, a particular category of station.
-
C.
associatedStationModule
Indicates a relationship where one entity is linked or connected to a specific station module as its related or corresponding module.
-
D.
associatedStationQualifier
Indicates that a station is linked to another station with a specific qualifying role or context (such as type, function, or relationship).
-
E.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
- F. None of above.
Provenance (4 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a4f6c3b88190b435e6b2d1a257ce |
completed | June 22, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.