Triple
T21318396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arauco Province |
E525539
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Tirúa |
—
|
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: Tirúa | Statement: [Arauco Province, hasSettlement, Tirúa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirúa Context triple: [Arauco Province, hasSettlement, Tirúa]
-
A.
Tirúa
chosen
Tirúa is a small coastal town and commune in Chile’s Biobío Region, known for its strong Mapuche-Lafkenche presence and proximity to the Pacific Ocean.
-
B.
Muxía
Muxía is a coastal town in Galicia, northwestern Spain, known for its dramatic Atlantic scenery, fishing heritage, and role as a spiritual and cultural endpoint for some Camino de Santiago pilgrims.
-
C.
Quiriego
Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
-
D.
Tamuín
Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
-
E.
Coaña
Coaña is a coastal municipality in the Asturias region of northern Spain, known for its prehistoric hillfort (castro) and rural landscapes.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ece1c348190aaa9c52474b57b2f |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:37 p.m.