Triple
T10987852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakataly region |
E259675
|
entity |
| Predicate | centeredAround |
P1939
|
FINISHED |
| Object | Zaqatala |
E259670
|
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: Zaqatala | Statement: [Zakataly region, centeredAround, Zaqatala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaqatala Context triple: [Zakataly region, centeredAround, Zaqatala]
-
A.
Zakatala
chosen
Zakatala is a town in northwestern Azerbaijan known as an administrative and cultural center in the foothills of the Caucasus Mountains.
-
B.
Taloqan
Taloqan is a city in northeastern Afghanistan that serves as the capital of Takhar Province and a regional hub for trade and administration.
-
C.
Dazaga
Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
-
D.
Zaqar
Zaqar is OpenStack’s multi-tenant messaging and notification service that provides queuing and publish-subscribe capabilities for cloud applications.
-
E.
Kushnar
Kushnar is an alternative written form or spelling variant of the name Kushner.
- 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.