Triple
T18939967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusheti Municipality |
E463354
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Ananuri |
—
|
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: Ananuri | Statement: [Dusheti Municipality, hasSettlement, Ananuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ananuri Context triple: [Dusheti Municipality, hasSettlement, Ananuri]
-
A.
Ananuri
chosen
Ananuri is a historic castle complex in Georgia, renowned for its medieval fortifications and churches overlooking the Aragvi River.
-
B.
Anjra
Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
-
C.
Arykanda
Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
-
D.
Arnara
Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
-
E.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eae9b88190b6031c359090782a |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.