Triple
T851648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biobío Region |
E18398
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Port of Talcahuano |
E74676
|
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: Port of Talcahuano | Statement: [Biobío Region, hasMajorPort, Port of Talcahuano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Talcahuano Context triple: [Biobío Region, hasMajorPort, Port of Talcahuano]
-
A.
Port of Coquimbo
The Port of Coquimbo is a key Chilean Pacific seaport that serves as a commercial, fishing, and cruise gateway for the Coquimbo Region.
-
B.
Puerto Montt
Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
-
C.
Arica
Arica is a major port city in far northern Chile, known for its dry climate, strategic location near the Peruvian border, and role as a commercial and transportation hub on the Pacific coast.
-
D.
Valparaíso Bay
Valparaíso Bay is a natural Pacific Ocean bay on the central coast of Chile, known for hosting the major port city of Valparaíso and serving as a key maritime hub.
-
E.
Talcahuano
chosen
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac22de288190913714d41e5a8e12 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7edfe79bc8190bcfb89f4bbc1feb4 |
completed | March 4, 2026, 8:31 a.m. |
Created at: March 1, 2026, 7:38 p.m.