Triple
T18885245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Anthony Brigade |
E461939
|
entity |
| Predicate | classificationBySeveralStates |
P25488
|
FINISHED |
| Object | terrorist organization unit |
—
|
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: terrorist organization unit | Statement: [Charles Anthony Brigade, classificationBySeveralStates, terrorist organization unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationBySeveralStates Context triple: [Charles Anthony Brigade, classificationBySeveralStates, terrorist organization unit]
-
A.
stateClassification
Indicates how something is categorized or classified within a particular state or status.
-
B.
classificationByUS
Indicates a relationship where an entity is assigned a category, status, or type according to a classification system defined or used by the United States.
-
C.
dividedStatesInto
Indicates that one entity partitioned another entity into multiple distinct states or regions.
-
D.
areClassifiedBy
chosen
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
E.
regionClassification
Indicates how a given area or location is categorized into a specific region based on defined criteria or boundaries.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d53e608190b8740c092b6e1523 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:57 a.m.