Triple
T7774596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bello |
E179159
|
entity |
| Predicate | hasMetropolitanConnectionWith |
P78253
|
FINISHED |
| Object | La Estrella |
E671186
|
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: La Estrella | Statement: [Bello, hasMetropolitanConnectionWith, La Estrella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Estrella Context triple: [Bello, hasMetropolitanConnectionWith, La Estrella]
-
A.
La Estrella
La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
-
B.
La Estrella
chosen
La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
-
C.
La Estrella
La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
-
D.
The Star
The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
-
E.
The Star
The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c708b13c688190839c920ec196cada |
completed | March 27, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7f12b888190b10479c3db81cce2 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.