Triple
T34714918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museo Nacional de la Lucha Contra Bandidos |
E1000745
|
entity |
| Predicate | focusesOnConflictType |
P1397
|
FINISHED |
| Object | counterinsurgency |
—
|
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: counterinsurgency | Statement: [Museo Nacional de la Lucha Contra Bandidos, focusesOnConflictType, counterinsurgency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnConflictType Context triple: [Museo Nacional de la Lucha Contra Bandidos, focusesOnConflictType, counterinsurgency]
-
A.
conflictType
chosen
Indicates the specific kind or category of conflict that characterizes the relationship or interaction between entities.
-
B.
basedOnConflict
Indicates that one entity is derived from, influenced by, or structured around a particular conflict involving another entity.
-
C.
usedInConflictType
Indicates that something (such as a resource, method, or capability) is employed or applied within a specific type or category of conflict.
-
D.
featuresConflictType
Indicates that there is a specific type or category of conflict between the features or characteristics of the related entities.
-
E.
captureConflict
Indicates that one entity records, represents, or encapsulates a conflict involving another entity or between multiple entities.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 3, 2026, 3:59 p.m.