Triple
T17867563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bampton Island (sand cay) |
E446742
|
entity |
| Predicate | isletType |
P17226
|
FINISHED |
| Object | coral cay |
—
|
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: coral cay | Statement: [Bampton Island (sand cay), isletType, coral cay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isletType Context triple: [Bampton Island (sand cay), isletType, coral cay]
-
A.
hasIslets
Indicates that one entity contains or possesses islets (small, distinct clusters or islands of tissue or cells) within it.
-
B.
hasNumberOfIslets
Indicates the quantitative relationship specifying how many islets are associated with a given entity.
-
C.
mainInhabitedIsletOf
Indicates that one islet is the primary or most significant inhabited islet associated with another geographic entity (such as an island group or territory).
-
D.
hasNumberOfSmallerIslets
Indicates that an entity is associated with a specified count of smaller islets related to it.
-
E.
islandType
chosen
Indicates the specific classification or category of an island based on its characteristics or formation.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa0b69081909fba3b42d237b543 |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.