Triple
T31016293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukushima Daini Nuclear Power Plant |
E790334
|
entity |
| Predicate | distanceFromFukushimaDaiichi_km |
P203489
|
FINISHED |
| Object | about 12 |
—
|
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 12 | Statement: [Fukushima Daini Nuclear Power Plant, distanceFromFukushimaDaiichi_km, about 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromFukushimaDaiichi_km Context triple: [Fukushima Daini Nuclear Power Plant, distanceFromFukushimaDaiichi_km, about 12]
-
A.
distanceFromChernobylNPP
Indicates the spatial distance between an entity and the Chernobyl Nuclear Power Plant.
-
B.
distanceFromChernobylTown
Indicates the spatial distance between an entity and the town of Chernobyl.
-
C.
distanceFromHiroshimaCityCenter
Indicates the measured distance between a given location and the central point of Hiroshima City.
-
D.
distanceFromNaha
Indicates the spatial distance between a given location and Naha.
-
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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a019037edbc8190bdaec436ac2fcec6 |
completed | May 11, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_6a018fe05a34819080068f588b5ff80c |
completed | May 11, 2026, 8:14 a.m. |
| PDg | Predicate description generation | batch_6a0190370290819096183e9fb7d32cff |
completed | May 11, 2026, 8:15 a.m. |
Created at: April 29, 2026, 8:57 p.m.