Triple
T20569453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Sauces |
E505052
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Los Sauces |
—
|
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 Sauces | Statement: [Los Sauces, hasOfficialName, Los Sauces]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Sauces Context triple: [Los Sauces, hasOfficialName, Los Sauces]
-
A.
Los Sauces
chosen
Los Sauces is a small town and commune in Chile’s Araucanía Region, known for its rural character and forestry-based economy.
-
B.
Los Barriles
Los Barriles is a small coastal town on the East Cape of Baja California Sur, Mexico, known for its sport fishing, kitesurfing, and laid-back beach atmosphere.
-
C.
Dosquebradas
Dosquebradas is a Colombian city in the Coffee Region known for its industrial activity and close integration with the neighboring city of Pereira.
-
D.
Rincón de los Sauces
Rincón de los Sauces is a city in western Argentina known as a major center of oil and gas production.
-
E.
Las Lajas
Las Lajas is a small town in Argentina’s Neuquén Province, known as a service and transit hub for travelers crossing the Andes via the nearby Paso Pino Hachado mountain pass.
- 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_69e6a7a4b90c81909854dac72f671eec |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.