Triple
T38702711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Peak |
E950181
|
entity |
| Predicate | numberOfSummitsInRidge |
P79004
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [First Peak, numberOfSummitsInRidge, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSummitsInRidge Context triple: [First Peak, numberOfSummitsInRidge, three]
-
A.
hasNumberOfMainSummits
chosen
Indicates the relationship that specifies how many primary or main summits are associated with a given entity.
-
B.
isOneOfHighestSummitsIn
Indicates that a summit belongs to the group of the tallest or most elevated peaks within a specified geographic area or region.
-
C.
hasMultipleSummits
Indicates that an entity (such as a mountain or peak) consists of more than one distinct summit or high point.
-
D.
numberOfMountains
Indicates the quantitative count of mountains associated with a given entity or context.
-
E.
isNamedSummitOf
Indicates that one entity is the officially designated summit (highest or principal point) of another entity, such as a mountain or geographic feature.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:33 p.m.