Triple
T3845050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokusai-dori |
E93548
|
entity |
| Predicate | hasNearbyStation |
P5648
|
FINISHED |
| Object | Kenchō-mae Station |
E94224
|
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: Kenchō-mae Station | Statement: [Kokusai-dori, hasNearbyStation, Kenchō-mae Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenchō-mae Station Context triple: [Kokusai-dori, hasNearbyStation, Kenchō-mae Station]
-
A.
Kencho-mae Station
chosen
Kencho-mae Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in central Naha, Japan, serving as a key access point to the Okinawa Prefectural Government Office area.
-
B.
Nijōjō-mae Station
Nijōjō-mae Station is an underground metro station in Kyoto, Japan, serving the area around Nijo Castle on the Kyoto Municipal Subway network.
-
C.
Kishinosato Station
Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
-
D.
Homachi Station
Homachi Station is a major underground railway station in central Osaka, Japan, serving as an important interchange hub on the Osaka Metro network.
-
E.
Kamimaezu Station
Kamimaezu Station is a major subway station in Nagoya, Japan, serving as an important transfer point and access hub for nearby commercial and shopping areas.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb655c081909ec5ff3d09eb4778 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d534fbc3fc8190b64611ef1de92865 |
completed | April 7, 2026, 4:46 p.m. |
Created at: March 9, 2026, 3:18 p.m.