Triple
T4629882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inaccessible Island |
E101386
|
entity |
| Predicate | distanceToTristanDaCunha |
P57841
|
FINISHED |
| Object | about 45 kilometres southwest |
—
|
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 45 kilometres southwest | Statement: [Inaccessible Island, distanceToTristanDaCunha, about 45 kilometres southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTristanDaCunha Context triple: [Inaccessible Island, distanceToTristanDaCunha, about 45 kilometres southwest]
-
A.
distanceToSaintHelena
Indicates the measured distance between a given entity and the location of Saint Helena.
-
B.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
-
C.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández Islands.
-
D.
distanceFromNewZealandMainland_km
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of New Zealand.
-
E.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a316ef48190831970ec914cf5a2 |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:13 p.m.