Triple
T33178073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsurumai Station |
E849238
|
entity |
| Predicate | hasSubwayOperatorAbbreviation |
P120156
|
FINISHED |
| Object | Nagoya City Subway |
—
|
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: Nagoya City Subway | Statement: [Tsurumai Station, hasSubwayOperatorAbbreviation, Nagoya City Subway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubwayOperatorAbbreviation Context triple: [Tsurumai Station, hasSubwayOperatorAbbreviation, Nagoya City Subway]
-
A.
hasSubwayCode
Indicates that an entity is associated with a specific subway system code used to identify it within that transit network.
-
B.
hasSubwaySymbol
Indicates that one entity is used as the official subway symbol or icon representing another entity.
-
C.
transitAuthorityAbbreviation
chosen
Indicates that one entity is the standard abbreviated form of the name of a particular transit authority.
-
D.
hasSubway
Indicates that a place is served by or contains a subway (metro) system.
-
E.
isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 1, 2026, 1:29 a.m.