Triple
T8710004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hypocenter Park |
E206749
|
entity |
| Predicate | distanceFromNagasakiStation |
P84671
|
FINISHED |
| Object | approximately 2.5 km north |
—
|
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 2.5 km north | Statement: [Hypocenter Park, distanceFromNagasakiStation, approximately 2.5 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNagasakiStation Context triple: [Hypocenter Park, distanceFromNagasakiStation, approximately 2.5 km north]
-
A.
distanceFromHiroshimaStation
Indicates the measured distance between a given place and Hiroshima Station.
-
B.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
-
C.
distanceToIōtō
Indicates the spatial distance between a subject and the location Iōtō.
-
D.
distanceFromShinOsakaByShinkansen
Indicates the travel distance between a given location and Shin-Osaka Station when using the Shinkansen (bullet train).
-
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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c3034708190b895eaf890d62198 |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc582412f48190ae819965bfb0e75d |
completed | March 31, 2026, 11:26 p.m. |
Created at: March 30, 2026, 6:35 p.m.