Triple
T38702724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Peak |
E950182
|
entity |
| Predicate | numberOfNeighboringSummits |
P206618
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Second Peak, numberOfNeighboringSummits, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNeighboringSummits Context triple: [Second Peak, numberOfNeighboringSummits, 2]
-
A.
hasNeighboringSummit
Indicates that one summit is directly adjacent to or closely situated next to another summit.
-
B.
hasNumberOfMainSummits
Indicates the relationship that specifies how many primary or main summits are associated with a given entity.
-
C.
isNamedSummitOf
Indicates that one entity is the officially designated summit (highest or principal point) of another entity, such as a mountain or geographic feature.
-
D.
numberOfMountains
Indicates the quantitative count of mountains associated with a given entity or context.
-
E.
isSummitOf
Indicates that one entity is the highest point or peak (summit) of another entity, such as a mountain or structure.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:33 p.m.