Triple
T3527957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sennichimae Line |
E74585
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Awaza Station |
E451358
|
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: Awaza Station | Statement: [Sennichimae Line, hasStation, Awaza Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awaza Station Context triple: [Sennichimae Line, hasStation, Awaza Station]
-
A.
Awaza Station
chosen
Awaza Station is a subway station in Osaka, Japan, serving as a transfer point between multiple Osaka Metro lines.
-
B.
Awaji Station
Awaji Station is a railway station in Osaka, Japan, serving as an important junction for multiple Hankyu Railway lines.
-
C.
Heiwadai Station
Heiwadai Station is a subway station in Tokyo, Japan, served by the Tokyo Metro Fukutoshin Line (and typically also the Yurakucho Line), providing local commuter access in the Nerima ward.
-
D.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
E.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6d099c8190b2b1e65a56e52089 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6e2cd9cc8190accfefed5eaa0b07 |
completed | April 3, 2026, 7:37 a.m. |
Created at: March 8, 2026, 3:19 p.m.