Triple
T22734619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chora District |
E562230
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Chora |
—
|
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: Chora | Statement: [Chora District, capital, Chora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chora Context triple: [Chora District, capital, Chora]
-
A.
Chora
chosen
Chora is a small town and district center in Uruzgan Province in central Afghanistan, known for its rural setting and involvement in regional conflicts.
-
B.
Chora
Chora is the main town and historic center of the Greek island of Mykonos, known for its whitewashed Cycladic architecture, winding alleys, and vibrant nightlife.
-
C.
Chora
Chora is the main town of the Greek island of Astypalaia, known for its whitewashed houses, hilltop castle, and traditional Cycladic character.
-
D.
Chora
Chora is the traditional main village of the Greek island of Alonissos, known for its picturesque hillside setting and historic architecture.
-
E.
Chora
Chora is the main village and administrative center of the Greek island of Anafi, known for its traditional Cycladic architecture and hilltop setting.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796f030881908e141564d442bd1b |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:22 p.m.