Triple
T16320399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baghdati Municipality |
E396275
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Baghdati |
E91946
|
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: Baghdati | Statement: [Baghdati Municipality, administrativeCenter, Baghdati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baghdati Context triple: [Baghdati Municipality, administrativeCenter, Baghdati]
-
A.
Baghdati
chosen
Baghdati is a small town in western Georgia known for its scenic surroundings and location within the Imereti region.
-
B.
Baghdasar
Baghdasar is a heroic figure from the Armenian epic "Sasna Tsrer" (Daredevils of Sassoun), known as one of its legendary warrior characters.
-
C.
Baghdati Municipality
Baghdati Municipality is a local self-governing administrative unit in western Georgia centered around the town of Baghdati.
-
D.
Babylon
Babylon is a town on the South Shore of Long Island in New York, known for its suburban communities, waterfront access, and role as a transportation hub.
-
E.
Babylon
"Babylon" is a 2022 epic period comedy-drama film written and directed by Damien Chazelle that explores the excesses and upheavals of Hollywood’s transition from silent films to sound in the late 1920s.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b5f0f081909a5379deaf0df5d5 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260904748190ae1eb5713a6daa68 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.