Triple
T6904130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keio Line at Meidaimae Station |
E159564
|
entity |
| Predicate | hasStationFunction |
P74029
|
FINISHED |
| Object | transfer station |
—
|
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: transfer station | Statement: [Keio Line at Meidaimae Station, hasStationFunction, transfer station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationFunction Context triple: [Keio Line at Meidaimae Station, hasStationFunction, transfer station]
-
A.
hasStationStructure
Indicates that an entity possesses or is associated with a particular station-related physical structure.
-
B.
hasComponentStation
Indicates that an entity includes or is associated with a specific station as one of its component parts.
-
C.
hasStationManager
Indicates that an entity has another entity serving as its station manager.
-
D.
hasStationManagement
Indicates that one entity is responsible for managing, operating, or overseeing the activities and administration of a station associated with another entity.
-
E.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d989c13081908a2e346cde9e3a50 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:25 p.m.