Triple
T11663994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camões Prize |
E277196
|
entity |
| Predicate | hasWinner |
P6361
|
FINISHED |
| Object | Pepetela |
E866929
|
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: Pepetela | Statement: [Camões Prize, hasWinner, Pepetela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pepetela Context triple: [Camões Prize, hasWinner, Pepetela]
-
A.
Pepetela
chosen
Pepetela is an acclaimed Angolan novelist and intellectual whose works, often associated with Portuguese-language African literature, explore themes of colonialism, revolution, and post-independence society.
-
B.
Paama
Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
-
C.
El Pípila
El Pípila is the nickname of Juan José de los Reyes Martínez Amaro, a Mexican independence hero famed for his legendary role in enabling insurgents to storm the Alhóndiga de Granaditas in 1810.
-
D.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
E.
Sepetiba
Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d3a64c819099f398ea22c8c180 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee88355fe08190b16b417c12e69e1a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.