Triple
T21354146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Seixas |
E526567
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Seixas |
—
|
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: Seixas | Statement: [Carlos Seixas, familyName, Seixas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seixas Context triple: [Carlos Seixas, familyName, Seixas]
-
A.
Seixas
chosen
Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
-
B.
Vila do Conde
Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
-
C.
Coruche
Coruche is a municipality in Portugal’s Santarém District, known for its cork oak forests, rice fields, and traditional rural landscape along the Sorraia River.
-
D.
Seixal
Seixal is a municipality on the south bank of the Tagus River in the Lisbon metropolitan area, known as a residential and industrial suburb connected to Lisbon by road and ferry links.
-
E.
Seixal
Seixal is a small coastal town on the north side of Madeira Island in Portugal, known for its dramatic cliffs, natural pools, and black sand beach.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9aa9508190b756cc8e07084c8e |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:05 p.m.