Triple
T11904555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calchaquí Valley |
E283241
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object | Molinos |
E886326
|
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: Molinos | Statement: [Calchaquí Valley, hasMajorSettlement, Molinos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molinos Context triple: [Calchaquí Valley, hasMajorSettlement, Molinos]
-
A.
Molinos
chosen
Molinos is a small historic town in Argentina’s Calchaquí Valleys, known for its colonial architecture, vineyards, and scenic Andean surroundings.
-
B.
Los Molinos
Los Molinos is a small unincorporated rural community in Northern California known for its agricultural surroundings and location in Tehama County.
-
C.
Molino
Molino is a Spanish surname and term often associated with mills or milling, related to the occupational name Molinero.
-
D.
Lajares
Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
-
E.
Churriana
Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e525460c81909d855048d9c799bf |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f418487f448190b6e24fb2c0409e3f |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.