Triple
T32027826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Dulang-dulang |
E817864
|
entity |
| Predicate | rankingByElevationInPhilippines |
P181356
|
FINISHED |
| Object | second highest mountain in the Philippines |
—
|
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: second highest mountain in the Philippines | Statement: [Mount Dulang-dulang, rankingByElevationInPhilippines, second highest mountain in the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByElevationInPhilippines Context triple: [Mount Dulang-dulang, rankingByElevationInPhilippines, second highest mountain in the Philippines]
-
A.
rankByAreaInPhilippines
Indicates the relative ordering of entities based on their area size specifically within the Philippines.
-
B.
rankByBasinSizeInPhilippines
Indicates the ordering of items based on the size of their basins specifically within the Philippines.
-
C.
elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
-
D.
mountainHeight
Indicates the vertical elevation or height of a mountain, typically measured from sea level.
-
E.
mountainElevationContext
Indicates the contextual relationship between a mountain and its elevation, such as how high it is relative to surrounding terrain or reference points.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: May 1, 2026, 12:17 a.m.