Triple
T11223590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoyama area |
E265636
|
entity |
| Predicate | hasNearbyStation |
P5648
|
FINISHED |
| Object | Gaiemmae Station |
—
|
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: Gaiemmae Station | Statement: [Aoyama area, hasNearbyStation, Gaiemmae Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaiemmae Station Context triple: [Aoyama area, hasNearbyStation, Gaiemmae Station]
-
A.
Gaiemmae Station
chosen
Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
-
B.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
C.
Roa Station
Roa Station is a railway station serving the municipality of Lunner in Viken county, Norway.
-
D.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
E.
Maita Station
Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ec8fb08190b27144ab65f85957 |
completed | April 9, 2026, 5:59 p.m. |
Created at: April 8, 2026, 9:30 p.m.