Triple
T23797007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Jihad Organization |
E588566
|
entity |
| Predicate | issuedThreatsAgainst |
P73999
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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 | Statement: [Islamic Jihad Organization, issuedThreatsAgainst, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuedThreatsAgainst Context triple: [Islamic Jihad Organization, issuedThreatsAgainst, United States]
-
A.
threatsFaced
Indicates that an entity is exposed to or experiences specific dangers, risks, or harmful conditions.
-
B.
hasThreats
chosen
Indicates that one entity poses or is associated with potential danger, harm, or adverse consequences toward another entity.
-
C.
threatToHumans
Indicates that the subject poses or represents a potential danger, harm, or risk to humans.
-
D.
threatenedBy
Indicates that one entity poses a danger or potential harm to another entity.
-
E.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6ddc2d88190b6124d9fb2695d24 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:50 p.m.