Triple
T23400430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sousa microregion |
E559488
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Sousa |
—
|
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: Sousa | Statement: [Sousa microregion, containsMunicipality, Sousa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sousa Context triple: [Sousa microregion, containsMunicipality, Sousa]
-
A.
Sousa
chosen
Sousa is a municipality in the state of Paraíba, Brazil, known for its significant dinosaur fossil sites and the nearby Vale dos Dinossauros (Valley of the Dinosaurs) archaeological park.
-
B.
Sousa
Sousa is a Portuguese wine subregion within Vinho Verde, known for producing light, fresh white wines with vibrant acidity.
-
C.
Sousa
Sousa is a surname most famously associated with John Philip Sousa, the American composer and conductor known as "The March King."
-
D.
John Philip Sousa
John Philip Sousa was an American composer and conductor, famously known as "The March King" for his prolific and influential military and patriotic marches.
-
E.
Daniel Sousa
Daniel Sousa is a World War II veteran and later S.H.I.E.L.D. agent in the Marvel universe, best known as a main character in the TV series "Agent Carter."
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.