Triple
T29274840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabi Ashkenazi |
E742218
|
entity |
| Predicate | officeStartTime (Minister of Foreign Affairs) |
P190993
|
FINISHED |
| Object | 2020-05-17 |
—
|
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: 2020-05-17 | Statement: [Gabi Ashkenazi, officeStartTime (Minister of Foreign Affairs), 2020-05-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Minister of Foreign Affairs) Context triple: [Gabi Ashkenazi, officeStartTime (Minister of Foreign Affairs), 2020-05-17]
-
A.
officeStartTime_MinisterForForeignAffairs
chosen
Indicates the time at which a person begins their term in the role of Minister for Foreign Affairs.
-
B.
officeEndTime_MinisterForForeignAffairs
Indicates the time at which a person's term in the role of Minister for Foreign Affairs comes to an end.
-
C.
officeStartTime (Prime Minister)
Indicates the specific time at which the Prime Minister’s term in office officially begins.
-
D.
officeStartTime (Minister of the Interior)
Indicates the date and/or time at which a person began serving as Minister of the Interior.
-
E.
officeStartTime (Ambassador to New Zealand)
Indicates the date and time when an individual began serving as Ambassador to New Zealand.
- 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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 28, 2026, 12:50 p.m.