Triple
T12353513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanos |
E294550
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Ürgüp |
E294549
|
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: Ürgüp | Statement: [Avanos, locatedNear, Ürgüp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ürgüp Context triple: [Avanos, locatedNear, Ürgüp]
-
A.
Ürgüp
chosen
Ürgüp is a historic town in Turkey’s Cappadocia region, known for its fairy-chimney rock formations, cave hotels, and wine production.
-
B.
Gürün
Gürün is a town and district in central Turkey known for its historical sites and distinctive natural landscapes within Sivas Province.
-
C.
Gürbulak
Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
-
D.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
E.
Uğurlu
Uğurlu is a village on the island of İmroz (Gökçeada) in the Aegean Sea, part of Turkey’s Çanakkale Province.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef437d08190b09132fa090504a5 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.