Triple
T4088959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | killing of Osama bin Laden |
E87658
|
entity |
| Predicate | PakistaniMilitaryInvolvement |
P39448
|
FINISHED |
| Object | not officially informed in advance |
—
|
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: not officially informed in advance | Statement: [killing of Osama bin Laden, PakistaniMilitaryInvolvement, not officially informed in advance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PakistaniMilitaryInvolvement Context triple: [killing of Osama bin Laden, PakistaniMilitaryInvolvement, not officially informed in advance]
-
A.
armedForcesInvolved
chosen
Indicates that the relationship or event involves the participation or presence of military or armed forces.
-
B.
providesPakistanRightsOver
Indicates that one entity grants Pakistan legal authority, control, or entitlements over another entity, resource, or domain.
-
C.
airForceInvolved
Indicates that an air force participates in, contributes to, or is otherwise involved in a specified event, operation, or situation.
-
D.
involvedStrait
Indicates that the entities are connected through, or have a relationship involving, a particular strait (a narrow body of water).
-
E.
numberOfTroopsInvolved
Indicates the quantity of military personnel participating in or assigned to a specific operation, event, or engagement.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefca9e9088190a97cb2ccb5d622f0 |
completed | March 9, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.