Triple
T505953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific coast of Chile |
E10501
|
entity |
| Predicate | hasPortCity |
P2745
|
FINISHED |
| Object | 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: Talcahuano | Statement: [Pacific coast of Chile, hasPortCity, Talcahuano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talcahuano Context triple: [Pacific coast of Chile, hasPortCity, Talcahuano]
-
A.
Talcahuano
chosen
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
B.
La Serena
La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
-
C.
Calama
Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
-
D.
Temuco
Temuco is a major city in southern Chile, known as a commercial and cultural center of the Araucanía Region with a strong Mapuche heritage.
-
E.
Iquique
Iquique is a coastal city in northern Chile known for its major Pacific port, free-trade zone, and proximity to the Atacama Desert.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f14b2acc8190818e8a53eac69c54 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a533bc40ac81908426b70366259a3b |
completed | March 2, 2026, 6:52 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.