Triple
T21509328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia–Azerbaijan border |
E530674
|
entity |
| Predicate | passesThroughOrNear |
P34612
|
FINISHED |
| Object | Qakh District |
—
|
NE NERFINISHED |
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: Qakh District | Statement: [Georgia–Azerbaijan border, passesThroughOrNear, Qakh District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qakh District Context triple: [Georgia–Azerbaijan border, passesThroughOrNear, Qakh District]
-
A.
Qakh District
chosen
Qakh District is an administrative region in northwestern Azerbaijan known for its ethnically diverse population and location along the border with Georgia.
-
B.
Jalalaqsi District
Jalalaqsi District is an administrative district in central Somalia, located within the Hiran (Hiiraan) region.
-
C.
Darzab District
Darzab District is an administrative district in northern Afghanistan, located within Jowzjan Province and known for its rural communities and security challenges.
-
D.
Mirzaka District
Mirzaka District is an administrative district located within Paktia Province in eastern Afghanistan.
-
E.
Musa Qala District
Musa Qala District is an administrative district in northern Helmand Province, Afghanistan, known for its strategic location and history of intense conflict during the Afghan war.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84042481909b43a7a4c5d2336a |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.