Triple
T16663408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marga Marga Province |
E404915
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Olmué |
E374480
|
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: Olmué | Statement: [Marga Marga Province, hasMunicipality, Olmué]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olmué Context triple: [Marga Marga Province, hasMunicipality, Olmué]
-
A.
Olmué
chosen
Olmué is a small town in Chile’s Valparaíso Region known for its rural charm, traditional festivals, and proximity to the coastal range and natural attractions.
-
B.
Chamela
Chamela is a small coastal locality on Mexico’s Pacific shore, known for its beaches and nearby tropical dry forest ecosystems.
-
C.
Mocorito
Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
-
D.
Guamote
Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
-
E.
Coconuco
Coconuco is an indigenous language of Colombia belonging to the Barbacoan language family.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9afd048190b73bbc9c423915ca |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084d091e0819088a98ef4aa775d07 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.