Triple
T35760916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirty-sixth government of Israel |
E1033565
|
entity |
| Predicate | foreignMinisterAtFormation |
P101305
|
FINISHED |
| Object | Yair Lapid |
—
|
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: Yair Lapid | Statement: [Thirty-sixth government of Israel, foreignMinisterAtFormation, Yair Lapid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foreignMinisterAtFormation Context triple: [Thirty-sixth government of Israel, foreignMinisterAtFormation, Yair Lapid]
-
A.
wasForeignMinisterOf
chosen
Indicates that a person held the official position of foreign minister for a particular country or governing body.
-
B.
successorAsForeignMinister
Indicates that one person assumed the role of foreign minister directly after another person in an official succession.
-
C.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
D.
firstSecretaryOfState
Indicates that the subject is the first person to have held the position of Secretary of State for the specified entity.
-
E.
servedAsForeignMinisterUntil
Indicates that an entity held the position of foreign minister up to a specified end date or point in time.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1c496808190a84be6315eb4c9fa |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.