Triple
T33470468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Binaiya |
E857172
|
entity |
| Predicate | isCountryHighPointOf |
P145895
|
FINISHED |
| Object | Indonesia (by province: Maluku) |
—
|
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: Indonesia (by province: Maluku) | Statement: [Mount Binaiya, isCountryHighPointOf, Indonesia (by province: Maluku)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCountryHighPointOf Context triple: [Mount Binaiya, isCountryHighPointOf, Indonesia (by province: Maluku)]
-
A.
nearHighestPeakOf
Indicates that one entity is located close to the highest peak of another referenced geographic or topographic feature.
-
B.
countryHighestPeak
chosen
Indicates that a given peak is the tallest mountain within the specified country.
-
C.
islandPeakOf
Indicates that one entity is the highest or most prominent peak located on a particular island.
-
D.
countryHighestPointAccess
Indicates that an entity has access to, or the ability to reach or utilize, the highest geographical point within a specified country.
-
E.
hasHighestPointAboveSeaLevel
Indicates that the highest point of one entity is located at a greater elevation above sea level than that of another 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4fd8c9c81908872647edd4b0d1a |
completed | May 3, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.