Triple
T8343971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Justice of Iran |
E195988
|
entity |
| Predicate | eligibleCandidateMustBe |
P14963
|
FINISHED |
| Object | Islamic jurist |
—
|
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: Islamic jurist | Statement: [Chief Justice of Iran, eligibleCandidateMustBe, Islamic jurist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleCandidateMustBe Context triple: [Chief Justice of Iran, eligibleCandidateMustBe, Islamic jurist]
-
A.
eligibleFrom
Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
-
B.
eligibleOn
Indicates the date or condition from which something qualifies to begin or be considered valid or applicable.
-
C.
eligibleAppointees
Indicates that certain individuals or entities meet the required criteria to be considered for a particular appointment or position.
-
D.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
E.
eligibleForOffice
chosen
Indicates that an entity meets the necessary requirements or qualifications to hold a particular office or position.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fed6b588190ba5593859c8effc2 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.