Triple
T15746716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Năstase |
E381738
|
entity |
| Predicate | startTime (President of the Chamber of Deputies) |
P120476
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Adrian Năstase, startTime (President of the Chamber of Deputies), 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (President of the Chamber of Deputies) Context triple: [Adrian Năstase, startTime (President of the Chamber of Deputies), 1992]
-
A.
startTime (President of Poland)
Indicates the point in time at which a person begins serving as President of Poland.
-
B.
startTime (U.S. Representative)
Indicates the date and time at which a person begins serving as a U.S. Representative.
-
C.
startTime (President of Portugal)
Indicates the point in time at which a person begins serving as President of Portugal.
-
D.
startTime (Chair of Ways and Means)
Indicates the time at which the person began serving as Chair of Ways and Means.
-
E.
legislatureStartPresidentOfChamber
Indicates that this person began serving as the president (presiding officer) of a legislative chamber at the start of a specified legislative term.
- F. None of above. chosen
Provenance (4 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:46 a.m.