Triple
T22604186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zushi Beach |
E574910
|
entity |
| Predicate | distanceFromNearestStation |
P69004
|
FINISHED |
| Object | approximately 10–15 minutes on foot or by bus |
—
|
LITERAL 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: approximately 10–15 minutes on foot or by bus | Statement: [Zushi Beach, distanceFromNearestStation, approximately 10–15 minutes on foot or by bus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNearestStation Context triple: [Zushi Beach, distanceFromNearestStation, approximately 10–15 minutes on foot or by bus]
-
A.
distanceFromStation
chosen
Indicates the measured spatial separation between an entity and a specified station.
-
B.
operatorOfNearestStation
Indicates that an entity is the organization or operator responsible for managing the station that is geographically closest to a given reference point or entity.
-
C.
nearestEntranceStation
Indicates that one station is the closest entrance station to a given location or entity compared to all other candidate stations.
-
D.
nearestUndergroundStation
Indicates the relationship where a specific underground (subway/metro) station is the closest one in distance to a given location or entity.
-
E.
hasNearbyRailwayStation
Indicates that a railway station is located within a short or convenient distance from the referenced 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626fad6881909895cc8c0af62f0d |
completed | April 29, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:51 p.m.