Triple
T26035542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Roques |
E647540
|
entity |
| Predicate | numberOfIslandsAndCays |
P44832
|
FINISHED |
| Object | over 300 |
—
|
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: over 300 | Statement: [Los Roques, numberOfIslandsAndCays, over 300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIslandsAndCays Context triple: [Los Roques, numberOfIslandsAndCays, over 300]
-
A.
numberOfIslandsAndReefs
chosen
Indicates the count of islands and reefs associated with or contained within a given geographic or administrative entity.
-
B.
numberOfCays
Indicates the quantity of cays (small low-elevation islands or sandbanks) associated with or contained within a given geographic entity.
-
C.
numberOfConstituentIslands
Indicates the count of individual islands that collectively make up a larger island group or entity.
-
D.
hasNumberOfInhabitedIslands
Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
-
E.
hasNumberOfMajorIslands
Indicates the quantitative relationship specifying how many major islands are associated with a given entity.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 22, 2026, 9:07 a.m.