Triple
T34994693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borut Pahor |
E1009491
|
entity |
| Predicate | endTime (Member of the European Parliament) |
P192711
|
FINISHED |
| Object | 2008-11-21 |
—
|
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: 2008-11-21 | Statement: [Borut Pahor, endTime (Member of the European Parliament), 2008-11-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Member of the European Parliament) Context triple: [Borut Pahor, endTime (Member of the European Parliament), 2008-11-21]
-
A.
endTimeOfPosition Member of the European Parliament
chosen
Indicates the date and time at which a person’s term as a Member of the European Parliament comes to an end.
-
B.
endTime (Leader of the Social Democrats)
Indicates the point in time when the person’s role as Leader of the Social Democrats concluded.
-
C.
endTime (Minister-President of Lower Saxony)
Indicates the point in time at which a person’s tenure as Minister-President of Lower Saxony concludes.
-
D.
endTime (Prime Minister of Romania)
Indicates the point in time at which a person’s tenure as Prime Minister of Romania concludes.
-
E.
endTime (President of Germany)
Indicates the date and time at which a person’s term as President of Germany 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 3, 2026, 4:01 p.m.