Triple
T6160160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunni Triangle |
E137419
|
entity |
| Predicate | gainedNotorietyFor |
P25528
|
FINISHED |
| Object | insurgent activity after the 2003 invasion of Iraq |
—
|
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: insurgent activity after the 2003 invasion of Iraq | Statement: [Sunni Triangle, gainedNotorietyFor, insurgent activity after the 2003 invasion of Iraq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedNotorietyFor Context triple: [Sunni Triangle, gainedNotorietyFor, insurgent activity after the 2003 invasion of Iraq]
-
A.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
B.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
C.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
D.
famousForEvent
chosen
Indicates that an entity is widely known or recognized specifically because of a particular event.
-
E.
reconocidaPor
Indicates that an entity is recognized, acknowledged, or honored by another entity.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3445dc8190822954cee90f0dd7 |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.