Triple
T14092889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagos |
E339178
|
entity |
| Predicate | currentName |
P1213
|
FINISHED |
| Object | Kadifekale |
E67753
|
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: Kadifekale | Statement: [Pagos, currentName, Kadifekale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadifekale Context triple: [Pagos, currentName, Kadifekale]
-
A.
Kadifekale
chosen
Kadifekale is a historic hilltop castle and fortress overlooking the city of Izmir in western Turkey.
-
B.
Makadara
Makadara is a residential and commercial neighborhood in Nairobi, Kenya, known for its dense population, vibrant local markets, and mix of low- to middle-income housing.
-
C.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
-
D.
Kaleibar
Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
-
E.
Farkadona
Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee47f0881908aea8b5231b93f2f |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf006f7481909149779de4d7cd2e |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.