Triple
T16936234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kekova Sunken City |
E410832
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Üçağız |
E696147
|
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: Üçağız | Statement: [Kekova Sunken City, nearbySettlement, Üçağız]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Üçağız Context triple: [Kekova Sunken City, nearbySettlement, Üçağız]
-
A.
Tepegöz
Tepegöz is a monstrous, cyclopean creature from the Turkic epic "Book of Dede Korkut," known as a fearsome man-eating antagonist defeated by the hero Basat.
-
B.
Dikili
chosen
Dikili is a coastal town and district in western Turkey known for its beaches, thermal springs, and proximity to the Aegean Sea.
-
C.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
D.
Zifta
Zifta is a city in Egypt’s Nile Delta region known for its agricultural surroundings and location within the Gharbia Governorate.
-
E.
Güyük
Güyük was a 13th-century Mongol ruler and military leader who later became the third Great Khan of the Mongol Empire.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2a05f48190a0a8ac86985f4000 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfe2d4f48190b965b6c0a3cc0125 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.