Triple
T8487342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo TV Tower |
E200861
|
entity |
| Predicate | locatedNearStation |
P65507
|
FINISHED |
| Object | Odori 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: Odori Station | Statement: [Sapporo TV Tower, locatedNearStation, Odori Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedNearStation Context triple: [Sapporo TV Tower, locatedNearStation, Odori Station]
-
A.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
-
B.
hasStationNear
Indicates that one entity has a station located in close proximity to another entity.
-
C.
associatedStation
chosen
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
D.
ownedStation
Indicates that one entity possesses ownership or control over a particular station.
-
E.
hasNearbyBirdStation
Indicates that one entity is located close to a bird observation or monitoring station associated with another entity.
- F. None of above.
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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe556b5188190b1124effd7445803 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.