Triple
T6338288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Callao Region |
E142552
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ventanilla |
E565922
|
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: Ventanilla | Statement: [Callao Region, contains, Ventanilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ventanilla Context triple: [Callao Region, contains, Ventanilla]
-
A.
Ventanilla
chosen
Ventanilla is a coastal district in the Constitutional Province of Callao in Peru, known for its large residential areas and proximity to the Lima metropolitan region.
-
B.
Ventilla
Ventilla is an archaeological site in Peru associated with the ancient Nazca culture, known for its remains that shed light on Nazca urban organization and ritual practices.
-
C.
Waso
Waso is a traditional month in the Burmese calendar that typically marks the beginning of the Buddhist Lent and the height of the monsoon season in Myanmar.
-
D.
Tagüeña
Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
-
E.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604307b388190bbc59f5f57cb4bbe |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.