Triple
T7278671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AC-4 |
E163093
|
entity |
| Predicate | locationOfCab |
P36092
|
FINISHED |
| Object | front of locomotive |
—
|
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: front of locomotive | Statement: [AC-4, locationOfCab, front of locomotive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfCab Context triple: [AC-4, locationOfCab, front of locomotive]
-
A.
cabLocation
chosen
Indicates the current geographic position of a cab in space (e.g., on a map or within a defined area).
-
B.
hasTaxiStand
Indicates that a location or facility includes or is served by a designated taxi stand area where taxis can wait for passengers.
-
C.
coordinateLocation
Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
-
D.
locationNowCalled
Indicates that a location is currently known or referred to by a different (typically newer) name than it was previously.
-
E.
operationLocation
Indicates the place or site where an operation, activity, or process is carried out.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.