Triple
T13229461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock Islands |
E314970
|
entity |
| Predicate | hasApproximateNumberOfIslets |
P83748
|
FINISHED |
| Object | more than 400 |
—
|
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: more than 400 | Statement: [Rock Islands, hasApproximateNumberOfIslets, more than 400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfIslets Context triple: [Rock Islands, hasApproximateNumberOfIslets, more than 400]
-
A.
hasNumberOfIslets
Indicates the quantitative relationship specifying how many islets are associated with a given entity.
-
B.
hasNumberOfSmallerIslets
Indicates that an entity is associated with a specified count of smaller islets related to it.
-
C.
hasIslets
Indicates that one entity contains or possesses islets (small, distinct clusters or islands of tissue or cells) within it.
-
D.
hasApproximateIslandsCount
Indicates that an entity is associated with an estimated or non-exact number of islands.
-
E.
approximateNumberOfIslands
chosen
Indicates an estimated or rough count of how many islands are present or associated with a given context.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:21 p.m.