Triple
T10987689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsakhurs |
E259671
|
entity |
| Predicate | regionOfSettlement |
P14194
|
FINISHED |
| Object | Gakh District |
E612429
|
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: Gakh District | Statement: [Tsakhurs, regionOfSettlement, Gakh District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gakh District Context triple: [Tsakhurs, regionOfSettlement, Gakh District]
-
A.
Gakh District
chosen
Gakh District is an administrative region in northwestern Azerbaijan known for its mountainous landscapes, forests, and ethnically diverse population.
-
B.
Chakhansur District
Chakhansur District is an administrative district in southwestern Afghanistan known for its arid landscape and location near the Iranian border.
-
C.
Barmal District
Barmal District is an administrative district in southeastern Afghanistan, located within Paktika Province near the border with Pakistan.
-
D.
Nushki District
Nushki District is an administrative district in the Balochistan province of Pakistan, known for its arid landscape and strategic location near the Afghan border.
-
E.
Shabran District
Shabran District is an administrative region in northeastern Azerbaijan known for its historical sites and location near the Caspian Sea.
- 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_69d787b3c8388190be77e95d56979a7f |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4830a903481909eaf327457eabf2b |
completed | April 19, 2026, 7:23 a.m. |
Created at: April 8, 2026, 9:24 p.m.