Triple
T4238671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ate |
E94755
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Cieneguilla District |
E427052
|
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: Cieneguilla District | Statement: [Ate, borderedBy, Cieneguilla District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cieneguilla District Context triple: [Ate, borderedBy, Cieneguilla District]
-
A.
Jesús María District
Jesús María District is a central urban district of Lima, Peru, known for its residential character, parks, and important public institutions.
-
B.
Amantaní District
Amantaní District is an administrative district in Peru that encompasses Amantaní Island and its surrounding area in Lake Titicaca.
-
C.
San Borja District
San Borja District is a primarily residential and commercial district in the city of Lima, Peru, known for its planned urban layout, green areas, and cultural institutions.
-
D.
Chaclacayo District
chosen
Chaclacayo District is a suburban district in the eastern part of Lima Province, Peru, known for its warmer climate and residential character.
-
E.
Chinchero District
Chinchero District is a highland district in Peru’s Cusco Region, known for its Inca archaeological remains, traditional weaving communities, and Andean landscapes.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e76b6e0819084d0ce137b5ba74e |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c710c2f081908b9be1da2bdf1b43 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:05 p.m.