Triple
T6805880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angostura Dam |
E156303
|
entity |
| Predicate | constructionCompany |
P63332
|
FINISHED |
| Object | Colbún S.A. |
E604733
|
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: Colbún S.A. | Statement: [Angostura Dam, constructionCompany, Colbún S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colbún S.A. Context triple: [Angostura Dam, constructionCompany, Colbún S.A.]
-
A.
Colbún S.A.
chosen
Colbún S.A. is a Chilean electric power company that develops, owns, and operates a portfolio of hydroelectric and thermal power plants.
-
B.
Lanco
Lanco is a small Chilean city located in the Los Ríos Region, known primarily as an agricultural and service center for the surrounding rural area.
-
C.
Habaguanex S.A.
Habaguanex S.A. is a Cuban state-run tourism and hospitality company that operates hotels, restaurants, and shops, particularly in Old Havana.
-
D.
Cruzcampo S.A.
Cruzcampo S.A. is a historic Spanish beer brand and brewery, originally founded in Seville and now part of the Heineken group.
-
E.
Gaviota S.A.
Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d3082dcc8190a84bc056236cc52e |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f9926ec8190bff8d01e3ab0d0da |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:16 p.m.