Triple
T7087108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dykh-Tau |
E165101
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Dykh Tau |
E165101
|
NE 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: Dykh Tau | Statement: [Dykh-Tau, hasAlternativeName, Dykh Tau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dykh Tau Context triple: [Dykh-Tau, hasAlternativeName, Dykh Tau]
-
A.
Dykh-Tau
chosen
Dykh-Tau is one of the highest and most prominent mountains in the Caucasus range, located on the border of Russia and Georgia.
-
B.
Ayudag Mountain
Ayudag Mountain is a prominent volcanic dome on Crimea’s southern coast, known for its distinctive bear-like shape and scenic views over the Black Sea.
-
C.
Taur Matan Ruak
Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
-
D.
Yudu Mountain
Yudu Mountain is a scenic natural area in Beijing’s Yanqing District, known for its mountainous landscapes and outdoor recreation opportunities.
-
E.
Mount Terevaka
Mount Terevaka is the highest and youngest of the three main volcanoes forming Easter Island (Rapa Nui) in the southeastern Pacific Ocean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e513d9b08190a8a8d213c2264ce4 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794888abc8190ada2ae826449745a |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:41 p.m.