Triple
T20570199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunn School |
E505074
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Los Olivos |
—
|
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: Los Olivos | Statement: [Dunn School, city, Los Olivos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Olivos Context triple: [Dunn School, city, Los Olivos]
-
A.
Los Olivos
Los Olivos is a predominantly residential and commercial district in northern Lima, Peru, known for its growing middle-class population and active retail and educational hubs.
-
B.
Los Olivos
chosen
Los Olivos is a small, upscale wine-country town in California’s Santa Ynez Valley, known for its vineyards, tasting rooms, and charming rural atmosphere.
-
C.
Los Olivos
Los Olivos is a neighborhood located within the Chapinero locality of Bogotá, Colombia, known for its urban residential character.
-
D.
Las Lomas
Las Lomas is an affluent residential and commercial district in Mexico City known for its upscale homes, embassies, and exclusive shops.
-
E.
Interlomas
Interlomas is an upscale residential and commercial district in the municipality of Huixquilucan, known for its modern shopping centers, high-rise developments, and proximity to Mexico City.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a5b0688190b45d0fa993c4765c |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.