Triple
T5466138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | António Luís Santos da Costa |
E122714
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Costa |
E111284
|
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: Costa | Statement: [António Luís Santos da Costa, familyName, Costa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costa Context triple: [António Luís Santos da Costa, familyName, Costa]
-
A.
Costa
chosen
Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
-
B.
Costa Cálida
Costa Cálida is a popular coastal region in southeastern Spain known for its warm climate, sandy beaches, and seaside resorts along the Mediterranean.
-
C.
Costa Esmeralda
Costa Esmeralda is a scenic coastal tourist region in eastern Mexico known for its long stretches of sandy beaches, warm Gulf waters, and relaxed resort atmosphere.
-
D.
Costa Sur
Costa Sur is a coastal region in the Mexican state of Jalisco known for its Pacific beaches, fishing villages, and tourism.
-
E.
Costa Verde
Costa Verde is a scenic coastal stretch in Lima, Peru, known for its cliffs, beaches, and oceanfront views along the Pacific.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9217009c819082631a2758b5f2a4 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf488da1d8819091e1cad0500b1747 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:08 p.m.