Triple
T18520716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USRA Light Santa Fe 2-10-2 |
E452574
|
entity |
| Predicate | hasSeparateTrailingTruck |
P131994
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [USRA Light Santa Fe 2-10-2, hasSeparateTrailingTruck, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeparateTrailingTruck Context triple: [USRA Light Santa Fe 2-10-2, hasSeparateTrailingTruck, yes]
-
A.
hasTrailingWheelArrangement
Indicates that an entity (typically a vehicle) possesses a specific configuration of wheels located at its rear or trailing end.
-
B.
hasTailTrain
Indicates that one entity possesses or is characterized by a tail-like train extending from it.
-
C.
isTrailerable
Indicates that something can be transported or carried using a trailer.
-
D.
numberOfTrailerCarsBuilt
Indicates the total count of trailer cars that have been constructed.
-
E.
hasTrunk
Indicates that one entity possesses or is equipped with a trunk as a physical feature or component.
- F. None of above. chosen
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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338db5e4819086503a2176dfe499 |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:37 a.m.