Triple
T7843461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulfur Island |
E181859
|
entity |
| Predicate | distanceFromTokyoKilometers |
P25290
|
FINISHED |
| Object | about 1200 |
—
|
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 1200 | Statement: [Sulfur Island, distanceFromTokyoKilometers, about 1200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTokyoKilometers Context triple: [Sulfur Island, distanceFromTokyoKilometers, about 1200]
-
A.
distanceFromTokyo
chosen
Indicates the physical distance between a given location and Tokyo.
-
B.
distanceToSapporo
Indicates the measured or calculated distance between a given entity and the location of Sapporo.
-
C.
distanceFromKyoto
Indicates the measured spatial distance between a given entity’s location and the city of Kyoto.
-
D.
distanceFromKochi_km
Indicates the physical distance, measured in kilometers, between a given location and Kochi.
-
E.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163c72248190b53bc53980e8ac0f |
completed | March 31, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:48 p.m.