Triple
T1982016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comandancia in Panama City |
E43047
|
entity |
| Predicate | wasAttackedDuring |
P24107
|
FINISHED |
| Object | United States invasion of Panama |
—
|
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: United States invasion of Panama | Statement: [Comandancia in Panama City, wasAttackedDuring, United States invasion of Panama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasAttackedDuring Context triple: [Comandancia in Panama City, wasAttackedDuring, United States invasion of Panama]
-
A.
attackedIn
Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
-
B.
wasTargetDuring
chosen
Indicates that an entity served as the target of another entity or action during a specified time period or event.
-
C.
assaultedBy
Indicates that an entity has been attacked or subjected to violent physical aggression by another entity.
-
D.
wasInvadedBy
Indicates that a place or territory was subjected to an incursion or attack carried out by another entity or group.
-
E.
attackDate
Indicates the calendar date on which an attack or assault event took place.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.