Triple
T2673598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Caicos |
E56405
|
entity |
| Predicate | areaRankingInTurksAndCaicos |
P41613
|
FINISHED |
| Object | one of the larger islands |
—
|
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: one of the larger islands | Statement: [North Caicos, areaRankingInTurksAndCaicos, one of the larger islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankingInTurksAndCaicos Context triple: [North Caicos, areaRankingInTurksAndCaicos, one of the larger islands]
-
A.
rankByAreaInCaribbean
Indicates the relative ordering of entities based on their area size specifically within the Caribbean region.
-
B.
rankByAreaInCanadaIslands
Indicates the numerical position of an island in Canada when all Canadian islands are ordered by their land area from largest to smallest.
-
C.
rankInWorldByArea
Indicates the position of an entity in a global ordering based on its total area size.
-
D.
rankInBritishIslesByArea
Indicates the position of an entity in an ordered list of areas specifically within the British Isles, based on its size relative to others.
-
E.
rankInCanaryIslandsByArea
Indicates the numerical position of an entity in an ordered list of areas within the Canary Islands, from largest to smallest.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b08b1c8190824342fc63e555d2 |
completed | March 7, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8f98c348190a68064c565589459 |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:54 p.m.