Triple
T33924892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiquilá |
E869721
|
entity |
| Predicate | distanceToIslaHolbox |
P206739
|
FINISHED |
| Object | approximately 10 kilometers across the water |
—
|
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: approximately 10 kilometers across the water | Statement: [Chiquilá, distanceToIslaHolbox, approximately 10 kilometers across the water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToIslaHolbox Context triple: [Chiquilá, distanceToIslaHolbox, approximately 10 kilometers across the water]
-
A.
distanceToHolguin
Indicates the measured spatial distance between a given entity and the location of Holguin.
-
B.
distanceFromBelizeMainland
Indicates the measured spatial distance separating a given entity from the mainland territory of Belize.
-
C.
distanceToCancun
Indicates the measured or calculated spatial distance between a given entity and the location of Cancun.
-
D.
distanceToBerlengas
Indicates the measured distance between a given entity’s location and the Berlengas.
-
E.
distanceToPraia
Indicates the measured distance between an entity and the location Praia.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:49 a.m.