Triple
T6507938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İmroz |
E150057
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Uğurlu
Uğurlu is a village on the island of İmroz (Gökçeada) in the Aegean Sea, part of Turkey’s Çanakkale Province.
|
E601892
|
NE FINISHED |
How this triple was built (4 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: [İmroz, hasVillage, Uğurlu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uğurlu Context triple: [İmroz, hasVillage, Uğurlu]
-
A.
Ürgüp
Ürgüp is a historic town in Turkey’s Cappadocia region, known for its fairy-chimney rock formations, cave hotels, and wine production.
-
B.
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.
-
C.
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.
-
D.
Eyüp
Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
-
E.
Uyar
Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Uğurlu Triple: [İmroz, hasVillage, Uğurlu]
Generated description
Uğurlu is a village on the island of İmroz (Gökçeada) in the Aegean Sea, part of Turkey’s Çanakkale Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uğurlu Target entity description: Uğurlu is a village on the island of İmroz (Gökçeada) in the Aegean Sea, part of Turkey’s Çanakkale Province.
-
A.
Ürgüp
Ürgüp is a historic town in Turkey’s Cappadocia region, known for its fairy-chimney rock formations, cave hotels, and wine production.
-
B.
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.
-
C.
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.
-
D.
Eyüp
Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
-
E.
Uyar
Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
- F. None of above. chosen
Provenance (5 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c699693d94819088e8adff364e834a |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb519b8081908db92ab57ad6e871 |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cd049fac81908c955caa0ccac5ba |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce00096c8190a3015bcd392e0ce4 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:43 p.m.