Triple
T6632194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piauí |
E149952
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Floriano
Floriano is a municipality in the Brazilian state of Piauí, known as an important commercial and cultural center in the region.
|
E598851
|
NE FINISHED |
How this triple was built (4 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: Floriano | Statement: [Piauí, hasCity, Floriano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floriano Context triple: [Piauí, hasCity, Floriano]
-
A.
Gusmão
Gusmão is a Portuguese-origin surname notably borne by East Timorese independence leader and statesman Kay Rala Xanana Gusmão.
-
B.
Bissaya Barreto
Bissaya Barreto was a prominent Portuguese physician, professor, and politician known for his influential social and educational initiatives in the Coimbra region.
-
C.
Delmiro Gouveia
Delmiro Gouveia is a municipality in northeastern Brazil known for its historical association with early industrial development and the pioneering entrepreneur Delmiro Augusto da Cruz Gouveia.
-
D.
Amílcar Falcão
Amílcar Falcão is a Portuguese academic and pharmacist who serves as rector of the historic University of Coimbra.
-
E.
Manuel dos Santos
Manuel dos Santos is a former Brazilian professional footballer best known for his time as a forward with Santos FC and the Brazil national team.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Floriano Triple: [Piauí, hasCity, Floriano]
Generated description
Floriano is a municipality in the Brazilian state of Piauí, known as an important commercial and cultural center in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Floriano Target entity description: Floriano is a municipality in the Brazilian state of Piauí, known as an important commercial and cultural center in the region.
-
A.
Gusmão
Gusmão is a Portuguese-origin surname notably borne by East Timorese independence leader and statesman Kay Rala Xanana Gusmão.
-
B.
Bissaya Barreto
Bissaya Barreto was a prominent Portuguese physician, professor, and politician known for his influential social and educational initiatives in the Coimbra region.
-
C.
Delmiro Gouveia
Delmiro Gouveia is a municipality in northeastern Brazil known for its historical association with early industrial development and the pioneering entrepreneur Delmiro Augusto da Cruz Gouveia.
-
D.
Amílcar Falcão
Amílcar Falcão is a Portuguese academic and pharmacist who serves as rector of the historic University of Coimbra.
-
E.
Manuel dos Santos
Manuel dos Santos is a former Brazilian professional footballer best known for his time as a forward with Santos FC and the Brazil national team.
- F. None of above. chosen
Provenance (5 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afc9138c81909d228ce4936d6b8b |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf329f08190a3f29c4d4c6aa136 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd0bb0e48190ae51fde4b4631f65 |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cd90b9208190b4c5bf44db073314 |
completed | March 27, 2026, 6:33 p.m. |
Created at: March 27, 2026, 1:59 p.m.