Triple
T38701696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sendai Subway 1000 series |
E950155
|
entity |
| Predicate | lineLengthServed |
P191549
|
FINISHED |
| Object | approximately 14.8 km (Namboku Line) |
—
|
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: approximately 14.8 km (Namboku Line) | Statement: [Sendai Subway 1000 series, lineLengthServed, approximately 14.8 km (Namboku Line)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineLengthServed Context triple: [Sendai Subway 1000 series, lineLengthServed, approximately 14.8 km (Namboku Line)]
-
A.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
-
B.
servesLineSince
Indicates that a transportation service or route has been operating on a particular line since a specified point in time.
-
C.
servesLine
Indicates that a transportation stop, station, or facility is on and provides service for a particular transit line.
-
D.
laneLength
Indicates the length or distance of a lane in a given context.
-
E.
lineOriginallyServed
Indicates that a particular transit or service line initially operated or provided service to a specified location, route, or entity.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.