Triple
T34159089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panama scandals |
E876223
|
entity |
| Predicate | numberOfParliamentariansImplicated |
P866
|
FINISHED |
| Object | about 150 |
—
|
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: about 150 | Statement: [Panama scandals, numberOfParliamentariansImplicated, about 150]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfParliamentariansImplicated Context triple: [Panama scandals, numberOfParliamentariansImplicated, about 150]
-
A.
numberOfIndictedPersonsApproximate
Indicates an approximate count of persons who have been formally indicted in a given context or case.
-
B.
numberOfParliaments
Indicates the count of distinct parliaments associated with or relevant to a given entity.
-
C.
numberOfPeopleAccused
chosen
Indicates the count of individuals who are formally alleged to have committed a particular act or offense.
-
D.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
E.
isLinkedPoliticallyTo
Indicates that there exists a political connection, alliance, or association between the entities, such that their political actions, interests, or affiliations are related or coordinated.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:54 a.m.