Triple
T31956724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolae Văcăroiu |
E815925
|
entity |
| Predicate | successor (office: President of the Senate of Romania) |
P33240
|
FINISHED |
| Object | Ilie Sârbu |
—
|
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: Ilie Sârbu | Statement: [Nicolae Văcăroiu, successor (office: President of the Senate of Romania), Ilie Sârbu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successor (office: President of the Senate of Romania) Context triple: [Nicolae Văcăroiu, successor (office: President of the Senate of Romania), Ilie Sârbu]
-
A.
successorOfficeHolder
chosen
Indicates that one office holder directly follows another in occupying the same official position.
-
B.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
C.
successorOfficeEstablished
Indicates that a new office or position was formally created to replace or succeed a previous one.
-
D.
successorInParliament
Indicates that one individual directly follows another in holding a parliamentary seat or office.
-
E.
successorAsFirstMinister
Indicates that one person assumes the role of First Minister immediately after another person, succeeding them in that office.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: May 1, 2026, 12:08 a.m.