Triple
T32497083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Caledonia Ridge |
E830554
|
entity |
| Predicate | countryOnRidge |
P202122
|
FINISHED |
| Object | France (via 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: France (via New Caledonia) | Statement: [New Caledonia Ridge, countryOnRidge, France (via New Caledonia)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOnRidge Context triple: [New Caledonia Ridge, countryOnRidge, France (via New Caledonia)]
-
A.
countryOfMountain
Indicates the country within whose territory a given mountain is located.
-
B.
countryOfHighestPoint
Indicates the country within whose territory a given location’s highest elevation point is found.
-
C.
hasHighestPeakInRegion
Indicates that an entity has the tallest or most elevated peak located within a specified geographic region.
-
D.
nearHighestPeakOf
Indicates that one entity is located close to the highest peak of another referenced geographic or topographic feature.
-
E.
countryOnOneSide
Indicates that one entity is located on one side or border of a specified country.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00532815c881908f10d9594458b3d7 |
completed | May 10, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_6a0052b9f030819081b8105bdcaf6d8f |
completed | May 10, 2026, 9:41 a.m. |
| PDg | Predicate description generation | batch_6a005326c1508190ace47b84c08b9565 |
completed | May 10, 2026, 9:43 a.m. |
Created at: May 1, 2026, 12:59 a.m.