Triple
T13113474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Süphan Mountain |
E311032
|
entity |
| Predicate | rankingByElevationInTurkey |
P87950
|
FINISHED |
| Object | third-highest peak in Turkey |
—
|
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: third-highest peak in Turkey | Statement: [Süphan Mountain, rankingByElevationInTurkey, third-highest peak in Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByElevationInTurkey Context triple: [Süphan Mountain, rankingByElevationInTurkey, third-highest peak in Turkey]
-
A.
hasPopulationRankInTurkey
Indicates the relative position of an entity in the ordered list of populations within Turkey, such as its rank by population size compared to other entities in the country.
-
B.
regionRankByHeight
chosen
Indicates the relative ordering of regions based on their height or elevation.
-
C.
countryRankByHeight
Indicates the relative position of a country when countries are ordered by the height of something (e.g., average elevation, tallest point, or average citizen height).
-
D.
distanceFromKayseri
Indicates the spatial distance between a given entity and the location of Kayseri.
-
E.
countryAltitudeCharacteristic
Indicates a characteristic relationship specifying the typical or notable altitude or elevation associated with a country.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:06 p.m.