Triple
T4238672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ate |
E94755
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | El Agustino District |
E321369
|
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: El Agustino District | Statement: [Ate, borderedBy, El Agustino District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Agustino District Context triple: [Ate, borderedBy, El Agustino District]
-
A.
El Agustino District
chosen
El Agustino District is an urban district of Lima, Peru, known for its dense residential areas and working-class neighborhoods within the Lima metropolitan area.
-
B.
Jesús María District
Jesús María District is a central urban district of Lima, Peru, known for its residential character, parks, and important public institutions.
-
C.
La Chorrera District
La Chorrera District is an administrative district in central Panama known for its growing urban development and proximity to Panama City.
-
D.
La Molina District
La Molina District is an affluent residential and educational district located in the eastern part of Lima, Peru.
-
E.
Chaclacayo District
Chaclacayo District is a suburban district in the eastern part of Lima Province, Peru, known for its warmer climate and residential character.
- 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_69b5d05f55f48190b671830e173ef2ba |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:05 p.m.