Triple
T20462734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Mulegé |
E501967
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Mulegé |
—
|
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: Mulegé | Statement: [Municipality of Mulegé, containsSettlement, Mulegé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mulegé Context triple: [Municipality of Mulegé, containsSettlement, Mulegé]
-
A.
Mulegé
chosen
Mulegé is a large municipality in the Mexican state of Baja California Sur, known for its desert landscapes, coastal areas along the Gulf of California, and historic oasis town of the same name.
-
B.
Colina
Colina is the popular nickname of the home stadium used by the Brazilian football club Nacional Futebol Clube.
-
C.
Colina
Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
-
D.
Chanco
Chanco is a coastal town and commune in Chile’s Maule Region, known for its agricultural activities and nearby protected natural areas.
-
E.
Machalí
Machalí is a Chilean city in the O'Higgins Region known for its proximity to the El Teniente copper mine and the Andean foothills.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a761648190b24cf4bb90a8abb1 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.