Triple
T2598191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Loop Line |
E58281
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Tennoji Station |
E16620
|
NE 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: Tennoji Station | Statement: [Osaka Loop Line, hasStation, Tennoji Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tennoji Station Context triple: [Osaka Loop Line, hasStation, Tennoji Station]
-
A.
Tennoji Station
chosen
Tennoji Station is a major railway and transportation hub in Osaka, Japan, serving multiple JR, subway, and private railway lines and connecting key commercial and tourist areas.
-
B.
Motomachi Station
Motomachi Station is a railway station in Japan that serves the Motomachi district, providing local and regional train access for commuters and visitors.
-
C.
Minato Motomachi Station
Minato Motomachi Station is a railway station in Kobe, Japan, serving the Motomachi and waterfront areas including popular attractions such as Meriken Park.
-
D.
Kuramae Station
Kuramae Station is a subway station in Tokyo, Japan, serving the Taitō area on the Toei Asakusa and Toei Ōedo Lines.
-
E.
Sumiyoshi Station
Sumiyoshi Station is a key railway stop in Kobe, Japan, serving as an important node on regional commuter and intercity rail services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4548b1081909d28f88ea5e14202 |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c673e0dbdc81909745d2a35bd53f88 |
completed | March 27, 2026, 12:11 p.m. |
Created at: March 6, 2026, 9:49 p.m.