Triple
T18520803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USRA 2-6-6-2 articulated locomotive |
E452576
|
entity |
| Predicate | trackAdaptation |
P131995
|
FINISHED |
| Object | curves |
—
|
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: curves | Statement: [USRA 2-6-6-2 articulated locomotive, trackAdaptation, curves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackAdaptation Context triple: [USRA 2-6-6-2 articulated locomotive, trackAdaptation, curves]
-
A.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
B.
mediaAdaptationSettingOf
Indicates that a media adaptation (such as a film, series, or game) is set in the narrative world or environment of a particular original work.
-
C.
playAdaptationBy
Indicates that a play is an adaptation created by a particular person, group, or entity.
-
D.
hasMediaAdaptation
Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
-
E.
positionOnAdaptation
Indicates the stance or viewpoint an entity holds regarding a particular adaptation (such as a change, modification, or version of something).
- 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.