Triple
T29821119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tarapacá |
E757246
|
entity |
| Predicate | forcePeru |
P167906
|
FINISHED |
| Object | approximately 4,000 troops |
—
|
LITERAL 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: approximately 4,000 troops | Statement: [Battle of Tarapacá, forcePeru, approximately 4,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forcePeru Context triple: [Battle of Tarapacá, forcePeru, approximately 4,000 troops]
-
A.
commanderForPeru
Indicates that an entity serves or has served as a military commander on behalf of Peru.
-
B.
PeruConfederation
Indicates a relationship in which entities are associated with, belong to, or are part of the Peru-Bolivian Confederation political union.
-
C.
regionInPeru
Indicates that a region or area is geographically located within the country of Peru.
-
D.
regionOnPeruSide
Indicates that a region is located on the side of a boundary or border that belongs to or is associated with Peru.
-
E.
statusInPeru
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Peru.
- F. None of above. chosen
Provenance (4 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_69f675675250819089db3b30f1f05f87 |
completed | May 2, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 29, 2026, 5:29 p.m.