Triple
T32497075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Caledonia Ridge |
E830554
|
entity |
| Predicate | highestPoints |
P91178
|
FINISHED |
| Object | islands of New Caledonia |
—
|
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: islands of New Caledonia | Statement: [New Caledonia Ridge, highestPoints, islands of New Caledonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPoints Context triple: [New Caledonia Ridge, highestPoints, islands of New Caledonia]
-
A.
highestPointsForm
Indicates that a given form or configuration achieves the greatest number of points compared to all other relevant forms.
-
B.
highestPointsCategory
Indicates the category in which an entity has achieved the greatest number of points compared to all other categories.
-
C.
hasHighestPoints
chosen
Indicates that the subject entity possesses the greatest number of points compared to all relevant others in the given context.
-
D.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
E.
hasHighest
Indicates that one entity possesses the greatest value, rank, or level in a specified attribute or set compared to all others.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 1, 2026, 12:59 a.m.