Triple
T38433181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morishita |
E903862
|
entity |
| Predicate | distanceToCentralBusinessDistrict |
P1299
|
FINISHED |
| Object | short train ride to central Tokyo |
—
|
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: short train ride to central Tokyo | Statement: [Morishita, distanceToCentralBusinessDistrict, short train ride to central Tokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCentralBusinessDistrict Context triple: [Morishita, distanceToCentralBusinessDistrict, short train ride to central Tokyo]
-
A.
distanceFromDowntown
chosen
Indicates the physical distance between a given location and the central downtown area.
-
B.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
-
C.
roadDistanceToCityCentre_km
Indicates the distance in kilometers from a location to the city centre when traveling by road.
-
D.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
E.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.