Triple
T519083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tristan da Cunha |
E10772
|
entity |
| Predicate | distanceToSouthAfrica |
P15348
|
FINISHED |
| Object | about 2,800 km west of South Africa |
—
|
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 2,800 km west of South Africa | Statement: [Tristan da Cunha, distanceToSouthAfrica, about 2,800 km west of South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSouthAfrica Context triple: [Tristan da Cunha, distanceToSouthAfrica, about 2,800 km west of South Africa]
-
A.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
B.
distanceToHarare
Indicates the spatial distance between a given entity and the location of Harare.
-
C.
distanceToContinentApproximate
Indicates an approximate measure of how far something is from a specified continent.
-
D.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
-
E.
distanceToBerlin
Indicates the spatial distance between a given entity’s location and the city of Berlin.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f19ee6748190916603ef3a9e27f3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f016ba5c81909825b04e7525b4ab |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f1137e948190838303cdaa757a5a |
completed | Feb. 28, 2026, 1:43 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.