Triple
T18541463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduardo Duhalde |
E453109
|
entity |
| Predicate | startTime (Governor of Buenos Aires Province) |
P132092
|
FINISHED |
| Object | 1991-12-10 |
—
|
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: 1991-12-10 | Statement: [Eduardo Duhalde, startTime (Governor of Buenos Aires Province), 1991-12-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Governor of Buenos Aires Province) Context triple: [Eduardo Duhalde, startTime (Governor of Buenos Aires Province), 1991-12-10]
-
A.
startTime (Governor of Siena)
Indicates the point in time at which a person’s tenure as Governor of Siena begins.
-
B.
startTime (Governor of Victoria)
Indicates the point in time at which someone begins serving as Governor of Victoria.
-
C.
startTime (Governor of Rhode Island)
Indicates the point in time at which a person begins serving as Governor of Rhode Island.
-
D.
startTime (Governor of Oklahoma)
Indicates the specific point in time at which a person begins serving as Governor of Oklahoma.
-
E.
startTime (Governor of New Jersey)
Indicates the point in time at which a person begins serving as Governor of New Jersey.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b749b88190ad03b26bee3c89df |
completed | April 19, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:37 a.m.