Triple
T7316183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Gervasio Artigas |
E168417
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Ibiray |
E122354
|
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: Ibiray | Statement: [José Gervasio Artigas, placeOfDeath, Ibiray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibiray Context triple: [José Gervasio Artigas, placeOfDeath, Ibiray]
-
A.
Ibiray
chosen
Ibiray is a locality in Paraguay historically noted as the place where Uruguayan national hero José Gervasio Artigas died in exile.
-
B.
Ishbak
Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
-
C.
Ibura
Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
-
D.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
E.
Imbaba
Imbaba is a densely populated working-class district in the Giza Governorate of Greater Cairo, known for its informal urban development and vibrant local markets.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef162d488190bf1c63b71b20a294 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eef3b1c48190ae65a136121b39cb |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:02 p.m.