Triple
T25473802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cousin Island |
E638374
|
entity |
| Predicate | distanceFromPraslin |
P71598
|
FINISHED |
| Object | about 2 kilometres |
—
|
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 kilometres | Statement: [Cousin Island, distanceFromPraslin, about 2 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPraslin Context triple: [Cousin Island, distanceFromPraslin, about 2 kilometres]
-
A.
distanceToPraslin
chosen
Indicates the spatial distance between a given entity and the location named Praslin.
-
B.
distanceFromPortLouis
Indicates the measured distance between a given location and Port Louis.
-
C.
distanceFromMahé
Indicates the measured spatial distance between a given entity’s location and Mahé.
-
D.
distanceToPort-au-Prince
Indicates the spatial distance between a given location and the city of Port-au-Prince.
-
E.
distanceFromMauritius
Indicates the spatial distance between a given entity and the location of Mauritius.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 21, 2026, 2:25 p.m.