Triple
T10987864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakataly region |
E259675
|
entity |
| Predicate | historicalCenter |
P2536
|
FINISHED |
| Object | town of Zaqatala |
E599049
|
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: town of Zaqatala | Statement: [Zakataly region, historicalCenter, town of Zaqatala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Zaqatala Context triple: [Zakataly region, historicalCenter, town of Zaqatala]
-
A.
Zaqatala city
chosen
Zaqatala city is an administrative and economic center in northwestern Azerbaijan, known for its multicultural population and proximity to the Caucasus Mountains.
-
B.
Zhob
Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
-
C.
Qala
Qala is a small village on the eastern tip of the Maltese island of Gozo, known for its scenic coastal views and traditional rural character.
-
D.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
E.
Musa Qala
Musa Qala is a town and district center in southern Afghanistan that has been a focal point of conflict and military operations, particularly during the Afghan War.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
Created at: April 8, 2026, 9:24 p.m.