Triple
T6452546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parque Kennedy |
E139904
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Miraflores central area |
E26173
|
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: Miraflores central area | Statement: [Parque Kennedy, partOf, Miraflores central area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miraflores central area Context triple: [Parque Kennedy, partOf, Miraflores central area]
-
A.
Miraflores district
Miraflores district is an upscale coastal neighborhood in Lima, Peru, known for its parks, shopping, nightlife, and pre-Columbian archaeological sites.
-
B.
Miraflores
chosen
Miraflores is an upscale coastal district of Lima, Peru, known for its shopping, dining, nightlife, and cliffside views over the Pacific Ocean.
-
C.
Barranco District
Barranco District is a bohemian coastal neighborhood in Lima, Peru, known for its vibrant arts scene, nightlife, and historic architecture.
-
D.
San Juan de Miraflores District
San Juan de Miraflores District is a populous urban district in southern Lima, Peru, known for its residential neighborhoods and commercial activity within the metropolitan area.
-
E.
Luz district
Luz district is a historic central neighborhood in São Paulo, Brazil, known for its major cultural institutions, transport hub, and architectural landmarks.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b62cbc81908b7f1a0dc1ed3e1d |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65394d8b481909868faf79f3d2383 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:47 p.m.