Triple
T22515784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hisham II |
E556642
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Córdoba |
—
|
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: Córdoba | Statement: [Hisham II, birthPlace, Córdoba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Córdoba Context triple: [Hisham II, birthPlace, Córdoba]
-
A.
Córdoba
Córdoba is a major city in central Argentina known for its industrial base, universities, and strategic military presence.
-
B.
Córdoba
chosen
Córdoba is a historic city in southern Spain renowned for its rich Moorish and medieval heritage, including the iconic Mezquita-Catedral.
-
C.
Granada
Granada is a small rural town in southeastern Colorado, historically known as the site of the World War II-era Amache Japanese American internment camp.
-
D.
Granada
Granada is a historic city in southern Spain, renowned as the last stronghold of Muslim rule on the Iberian Peninsula and home to the famed Alhambra palace.
-
E.
Granada
Granada is a historic colonial city in western Nicaragua, known for its well-preserved Spanish architecture and location on the shores of Lake Nicaragua.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.