Triple
T36843376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo Municipal Subway 7000 series |
E910470
|
entity |
| Predicate | usedOnTrackType |
P3832
|
FINISHED |
| Object | rubber-tyred metro track |
—
|
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: rubber-tyred metro track | Statement: [Sapporo Municipal Subway 7000 series, usedOnTrackType, rubber-tyred metro track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnTrackType Context triple: [Sapporo Municipal Subway 7000 series, usedOnTrackType, rubber-tyred metro track]
-
A.
containsTrackType
Indicates that one entity includes or is associated with a specific type or category of track.
-
B.
usedTractionType
Indicates the type of traction or drive mechanism that was employed in performing the action or operating the entity.
-
C.
usesTrackage
Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
-
D.
composedTrackType
Indicates that one entity is a track whose type or category is defined or characterized by another entity.
-
E.
trackType
chosen
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.