Triple
T8752315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Iquique |
E207987
|
entity |
| Predicate | strategicObjectiveForChile |
P85190
|
FINISHED |
| Object | maintain blockade of Iquique |
—
|
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: maintain blockade of Iquique | Statement: [Battle of Iquique, strategicObjectiveForChile, maintain blockade of Iquique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strategicObjectiveForChile Context triple: [Battle of Iquique, strategicObjectiveForChile, maintain blockade of Iquique]
-
A.
strategicObjectiveSpain
Indicates that an entity has a strategic objective specifically related to Spain.
-
B.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
-
C.
strategicObjectiveInBurma
Indicates that an entity has or represents a strategic objective specifically related to Burma (Myanmar).
-
D.
nationalGoals
Indicates a relationship where certain objectives or targets are officially set or recognized as the goals of a nation.
-
E.
rankByAreaInChile
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Chile.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da8cc548190a31ad542d2faf2d5 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:39 p.m.