Triple
T19086776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNALM |
E467169
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | La Molina District |
—
|
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: La Molina District | Statement: [UNALM, locatedIn, La Molina District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Molina District Context triple: [UNALM, locatedIn, La Molina District]
-
A.
La Molina District
chosen
La Molina District is an affluent residential and educational district located in the eastern part of Lima, Peru.
-
B.
Huasicancha District
Huasicancha District is an administrative district located in Huancayo Province in the central highlands of Peru.
-
C.
Surquillo District
Surquillo District is an urban district of Lima, Peru, known for its dense residential areas, commercial activity, and central location within the Lima metropolitan area.
-
D.
Huancapon District
Huancapon District is an administrative district located within Cajatambo Province in the Lima Region of central Peru, characterized by its Andean highland geography and rural communities.
-
E.
Leoncio Prado District
Leoncio Prado District is an administrative district located within Huaura Province in the Lima Region of Peru.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e347ee288190a3e935ff89ca94aa |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.