Triple
T23380413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iglesia Virgen Milagrosa |
E593728
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Miraflores |
—
|
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: Miraflores | Statement: [Iglesia Virgen Milagrosa, district, Miraflores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miraflores Context triple: [Iglesia Virgen Milagrosa, district, Miraflores]
-
A.
Miraflores
chosen
Miraflores is an upscale coastal district of Lima, Peru, known for its shopping, dining, nightlife, and cliffside views over the Pacific Ocean.
-
B.
Miraflores
Miraflores is a rural barrio (district) of the municipality of Arecibo in northern Puerto Rico.
-
C.
Miraflores
Miraflores is a town and district-level settlement located in the Huamalíes Province of Peru’s Huánuco region.
-
D.
San Juan de Miraflores
San Juan de Miraflores is a populous residential district in southern Lima, Peru, known for its working-class neighborhoods and rapid urban growth.
-
E.
Surquillo
Surquillo is a densely populated urban district of Lima, Peru, known for its residential neighborhoods, markets, and proximity to the upscale area of Miraflores.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b6ddfc8190a23d291286f3fe42 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:34 p.m.