Triple
T29821115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tarapacá |
E757246
|
entity |
| Predicate | commanderPeru |
P77972
|
FINISHED |
| Object | Andrés Avelino Cáceres |
—
|
NE NERFINISHED |
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: Andrés Avelino Cáceres | Statement: [Battle of Tarapacá, commanderPeru, Andrés Avelino Cáceres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commanderPeru Context triple: [Battle of Tarapacá, commanderPeru, Andrés Avelino Cáceres]
-
A.
commanderForPeru
chosen
Indicates that an entity serves or has served as a military commander on behalf of Peru.
-
B.
commanderForChile
Indicates that an individual serves or has served as a military or organizational commander on behalf of Chile.
-
C.
commanderArgentina
Indicates that one entity serves as the military or organizational commander of Argentina.
-
D.
forcePeru
Indicates a relationship where some agent applies or exerts force specifically on or within the context of Peru.
-
E.
commanderForSpain
Indicates that a person serves or has served as a military commander on behalf of Spain.
- F. None of above.
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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 29, 2026, 5:29 p.m.