Triple
T29821144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tarapacá |
E757246
|
entity |
| Predicate | supplySituationPeru |
P81014
|
FINISHED |
| Object | ammunition shortage |
—
|
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: ammunition shortage | Statement: [Battle of Tarapacá, supplySituationPeru, ammunition shortage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supplySituationPeru Context triple: [Battle of Tarapacá, supplySituationPeru, ammunition shortage]
-
A.
statusInPeru
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Peru.
-
B.
supplySituation
chosen
Indicates a relationship where one entity provides or makes available needed resources, goods, or services to another under specific conditions or circumstances.
-
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.
commanderForPeru
Indicates that an entity serves or has served as a military commander on behalf of Peru.
- 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_69f675675250819089db3b30f1f05f87 |
completed | May 2, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:29 p.m.