Triple
T30219880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hua |
E768313
|
entity |
| Predicate | positionWithinFiveGreatMountains |
P195858
|
FINISHED |
| Object | western peak |
—
|
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: western peak | Statement: [Mount Hua, positionWithinFiveGreatMountains, western peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinFiveGreatMountains Context triple: [Mount Hua, positionWithinFiveGreatMountains, western peak]
-
A.
locatedInMountainRangeRegion
Indicates that a place or geographic entity is situated within the area covered by a specific mountain range.
-
B.
locatedInMountain
Indicates that something is situated within, on, or as part of a mountain.
-
C.
hasNearestMountain
Indicates that one entity is the closest mountain geographically relative to another entity.
-
D.
positionRelativeToSummit
Indicates the spatial relationship of an entity’s location with respect to the summit of a feature or structure.
-
E.
numberOfMountains
Indicates the quantitative count of mountains associated with a given entity or context.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
| PDg | Predicate description generation | batch_69fdec5f0420819087c0230ad384c4ba |
completed | May 8, 2026, 1:59 p.m. |
Created at: April 29, 2026, 7:34 p.m.