Triple
T23450588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Dara |
E567768
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object | Dara |
—
|
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: Dara | Statement: [Battle of Dara, hasLocation, Dara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dara Context triple: [Battle of Dara, hasLocation, Dara]
-
A.
Dara
chosen
Dara was a strategically important fortified city in northern Mesopotamia that served as a key Byzantine stronghold against the Sasanian Empire.
-
B.
Dara
Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
-
C.
Darda
Darda is a village and municipality in the Baranja region of eastern Croatia, known for its multicultural population and historical heritage.
-
D.
Anar Dara
Anar Dara is a town and district center in western Afghanistan known for its agricultural surroundings and location within Farah Province.
-
E.
Djao
Djao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Africa, known for their distinct cultural traditions and languages.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64d3e9c8190a2596b067c4f5061 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:52 p.m.