Triple
T3225873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namba City |
E67619
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Nankai Namba Station |
E526466
|
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: Nankai Namba Station | Statement: [Namba City, near, Nankai Namba Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nankai Namba Station Context triple: [Namba City, near, Nankai Namba Station]
-
A.
Nankai Railway Namba Station
chosen
Nankai Railway Namba Station is a major terminal railway station in Osaka’s Namba district, serving as a key gateway to southern Osaka and Kansai International Airport.
-
B.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
-
C.
Naka-Urawa Station
Naka-Urawa Station is a railway station in Saitama, Japan, operated by JR East on a major commuter route connecting central Tokyo with the surrounding suburbs.
-
D.
Miebashi Station
Miebashi Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) system serving central Naha in Okinawa, Japan.
-
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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb4cd3481908af8a2c9b6c0742d |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9ea3f8a20819096ae41db21c8da0e |
completed | March 30, 2026, 3:13 a.m. |
Created at: March 8, 2026, 3:08 p.m.