Triple
T24306756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympian Hiawatha |
E612555
|
entity |
| Predicate | rollingStockFeature |
P113855
|
FINISHED |
| Object | Skytop lounge observation car |
—
|
NE NERFINISHED |
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: Skytop lounge observation car | Statement: [Olympian Hiawatha, rollingStockFeature, Skytop lounge observation car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rollingStockFeature Context triple: [Olympian Hiawatha, rollingStockFeature, Skytop lounge observation car]
-
A.
rollingStockType
Indicates the specific category or type of railway rolling stock associated with an entity (e.g., locomotive, passenger car, freight wagon).
-
B.
hasRollingStockFeature
chosen
Indicates that a piece of rolling stock possesses a specific feature, characteristic, or equipment.
-
C.
rollingStockFamily
Indicates a relationship where a piece of rolling stock belongs to, or is classified under, a particular family or series of related rolling stock designs.
-
D.
rollingStockLength
Indicates the length measurement of a piece of rolling stock in a rail or transit system.
-
E.
ownedRollingStock
Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292272af88190b9c23615adbac911 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:31 a.m.