Triple
T6846796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gökçeada |
E157915
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Uğurlu |
E601892
|
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: Uğurlu | Statement: [Gökçeada, hasSettlement, Uğurlu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uğurlu Context triple: [Gökçeada, hasSettlement, Uğurlu]
-
A.
Uğurlu
chosen
Uğurlu is a village on the island of İmroz (Gökçeada) in the Aegean Sea, part of Turkey’s Çanakkale Province.
-
B.
Ürgüp
Ürgüp is a historic town in Turkey’s Cappadocia region, known for its fairy-chimney rock formations, cave hotels, and wine production.
-
C.
Oğuzeli
Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
-
D.
Gündoğmuş
Gündoğmuş is a small inland district and town in Turkey known for its mountainous terrain and location within Antalya Province in the Mediterranean region.
-
E.
Eyüp
Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cd0e64819097c9c211df8bce54 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fc931d881908661483836cc059e |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:20 p.m.