Triple
T19406384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khoni Municipality |
E485473
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Khoni |
—
|
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: Khoni | Statement: [Khoni Municipality, administrativeCenter, Khoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khoni Context triple: [Khoni Municipality, administrativeCenter, Khoni]
-
A.
Khoni
chosen
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
B.
Kothoga
Kothoga is the monstrous, chimeric creature that serves as the primary antagonist in the horror film "The Relic."
-
C.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
D.
Navakhai
Navakhai is a traditional harvest festival celebrated by agrarian communities, particularly in parts of central and eastern India, to mark the consumption of the season’s newly harvested grain.
-
E.
Khunanup
Khunanup is the eloquent peasant protagonist of an ancient Egyptian literary tale, renowned for his articulate pleas for justice before the authorities.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257af68881908147beedc29ff64c |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.