Triple
T31956716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolae Văcăroiu |
E815925
|
entity |
| Predicate | endTime (position: Prime Minister of Romania) |
P120475
|
FINISHED |
| Object | 1996-12-12 |
—
|
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: 1996-12-12 | Statement: [Nicolae Văcăroiu, endTime (position: Prime Minister of Romania), 1996-12-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (position: Prime Minister of Romania) Context triple: [Nicolae Văcăroiu, endTime (position: Prime Minister of Romania), 1996-12-12]
-
A.
endTime (Prime Minister of Romania)
chosen
Indicates the point in time at which a person’s tenure as Prime Minister of Romania concludes.
-
B.
startTime (Prime Minister of Romania)
Indicates the point in time at which a person begins serving as Prime Minister of Romania.
-
C.
endTime (Prime Minister of Armenia)
Indicates the point in time at which a person’s tenure as Prime Minister of Armenia concludes.
-
D.
endTime (Prime Minister of Sweden)
Indicates the point in time at which a person’s tenure as Prime Minister of Sweden concludes.
-
E.
endTime (President of the Chamber of Deputies)
Indicates the date and time at which a person’s tenure as President of the Chamber of Deputies concludes.
- 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_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 1, 2026, 12:08 a.m.