Triple
T23293293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rishiri Island |
E590091
|
entity |
| Predicate | distanceToRebunIsland_km |
P151732
|
FINISHED |
| Object | about 10 |
—
|
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 | Statement: [Rishiri Island, distanceToRebunIsland_km, about 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToRebunIsland_km Context triple: [Rishiri Island, distanceToRebunIsland_km, about 10]
-
A.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández Islands.
-
B.
distanceToPitcairnIsland_km
Indicates the distance, measured in kilometers, between a given location and Pitcairn Island.
-
C.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
D.
distanceFromInnerIslands
Indicates the measured spatial separation between something and the inner islands.
-
E.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:02 p.m.