Triple
T4095206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delicias |
E87797
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Camargo |
E264849
|
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: Camargo | Statement: [Delicias, roadConnectionTo, Camargo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camargo Context triple: [Delicias, roadConnectionTo, Camargo]
-
A.
Camargo
chosen
Camargo is a Spanish-origin surname borne by numerous individuals and families across the Spanish- and Portuguese-speaking world.
-
B.
Iberê Camargo
Iberê Camargo was a prominent Brazilian painter and printmaker known for his expressionist style and significant influence on 20th-century Brazilian art.
-
C.
Gamboa
Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
-
D.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
E.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcddd76c81909fbf5db1f5d91a14 |
completed | March 9, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b6f8bb081908aa2d126fe3c9502 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:40 p.m.