Triple
T19839168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | da Costa |
E476676
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | da-Costa |
E476676
|
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: da-Costa | Statement: [da Costa, hasVariant, da-Costa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: da-Costa Context triple: [da Costa, hasVariant, da-Costa]
-
A.
da Costa
chosen
da Costa is a Portuguese surname borne by numerous notable individuals across literature, politics, sports, and other fields.
-
B.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
C.
Ramos da Costa
Ramos da Costa is a Portuguese-language surname associated with individuals such as Francisco Ramos da Costa.
-
D.
Dacascos
Dacascos is the surname of Mark Dacascos, an American actor and martial artist known for roles in action films and as the Chairman on the television show "Iron Chef America."
-
E.
Flores Costa Cuca
Flores Costa Cuca is a municipality and town in Guatemala’s western highland region, within the department of Quetzaltenango.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d436990481908bb488d3935fa773 |
completed | May 16, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:50 p.m.