Triple
T9929929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balmaceda Airport |
E192620
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Balmaceda |
E367709
|
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: Balmaceda | Statement: [Balmaceda Airport, locatedIn, Balmaceda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balmaceda Context triple: [Balmaceda Airport, locatedIn, Balmaceda]
-
A.
Balmaceda
chosen
Balmaceda is a Spanish-language surname of Chilean origin, notably borne by actor Pedro Pascal (born José Pedro Balmaceda Pascal).
-
B.
Villamaría
Villamaría is a Colombian town and municipality located in the Andean region of the country, known for its coffee-growing landscapes and proximity to the city of Manizales.
-
C.
Villazón
Villazón is a Bolivian border town in the Potosí Department, known as a key commercial and transit point between Bolivia and Argentina.
-
D.
Valdivia
Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
-
E.
Traiguén
Traiguén is a town and commune in southern Chile’s Araucanía Region, known historically for agriculture and forestry within the Malleco area.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b215c481909e0bca43f158bd82 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228cab0fc81908ff5fad6916c1bab |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:43 p.m.