Triple
T7433102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAZDA Zoom-Zoom Stadium Hiroshima |
E171538
|
entity |
| Predicate | distanceFromHiroshimaStation |
P76374
|
FINISHED |
| Object | about 10 minutes on foot |
—
|
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: about 10 minutes on foot | Statement: [MAZDA Zoom-Zoom Stadium Hiroshima, distanceFromHiroshimaStation, about 10 minutes on foot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromHiroshimaStation Context triple: [MAZDA Zoom-Zoom Stadium Hiroshima, distanceFromHiroshimaStation, about 10 minutes on foot]
-
A.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
-
B.
distanceFromShinOsakaByShinkansen
Indicates the travel distance between a given location and Shin-Osaka Station when using the Shinkansen (bullet train).
-
C.
distanceToSapporo
Indicates the measured or calculated distance between a given entity and the location of Sapporo.
-
D.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
-
E.
distanceFromKochi_km
Indicates the physical distance, measured in kilometers, between a given location and Kochi.
- F. None of above. chosen
Provenance (4 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f325ea908190b668fd4ce646f1e6 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0be2b1c8190bea06100a7caef2b |
completed | March 27, 2026, 9:03 p.m. |
Created at: March 27, 2026, 3:12 p.m.