Triple
T7873023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palestinian militant groups |
E182783
|
entity |
| Predicate | hasFundingSources |
P9503
|
FINISHED |
| Object | state sponsorship |
—
|
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: state sponsorship | Statement: [Palestinian militant groups, hasFundingSources, state sponsorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFundingSources Context triple: [Palestinian militant groups, hasFundingSources, state sponsorship]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
C.
seeksFundingFrom
Indicates that one entity is actively trying to obtain financial support or investment from another entity.
-
D.
funderOf
Indicates that one entity provides financial support or funding for another entity, project, or activity.
-
E.
fundingContext
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a6d93881908d68386e49bea1e3 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:56 p.m.