Triple
T32758805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Gayong |
E837699
|
entity |
| Predicate | elevationRankInPeninsularMalaysia |
P136632
|
FINISHED |
| Object | fourth highest |
—
|
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: fourth highest | Statement: [Mount Gayong, elevationRankInPeninsularMalaysia, fourth highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRankInPeninsularMalaysia Context triple: [Mount Gayong, elevationRankInPeninsularMalaysia, fourth highest]
-
A.
rankingByLengthInPeninsularMalaysia
Indicates a ranking relationship among items based on their lengths, specifically within the context of Peninsular Malaysia.
-
B.
areaRankInMalaysia
Indicates the relative position of an entity in a size-based ranking by area within Malaysia.
-
C.
rankingByElevationInPhilippines
Indicates the relative ordering of places in the Philippines based on their elevation above sea level.
-
D.
hasElevationRank
chosen
Indicates the relative ordering of an entity based on its elevation compared to others.
-
E.
regionInMalaysia
Indicates that a region or area is located within the country of Malaysia.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 1, 2026, 1:13 a.m.