Triple
T4765013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skolio |
E105786
|
entity |
| Predicate | relativeHeightRankOnMountOlympus |
P39147
|
FINISHED |
| Object | second-highest 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: second-highest peak | Statement: [Skolio, relativeHeightRankOnMountOlympus, second-highest peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeHeightRankOnMountOlympus Context triple: [Skolio, relativeHeightRankOnMountOlympus, second-highest peak]
-
A.
rankOnMountAthos
Indicates the hierarchical or positional rank that an entity holds within the monastic or administrative structure on Mount Athos.
-
B.
summitElevationRank
chosen
Indicates the relative position of a summit in an ordered list based on its elevation compared to other summits.
-
C.
relativeToMountEverest
Indicates a relationship that compares or situates something in reference to Mount Everest, such as in terms of location, height, scale, or significance.
-
D.
positionRelativeToSummit
Indicates the spatial relationship of an entity’s location with respect to the summit of a feature or structure.
-
E.
rankByHeightWorld
Indicates an ordering of entities based on their relative height compared to all others in the world.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.