Triple
T18541459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduardo Duhalde |
E453109
|
entity |
| Predicate | startTime (President of Argentina) |
P132088
|
FINISHED |
| Object | 2002-01-02 |
—
|
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: 2002-01-02 | Statement: [Eduardo Duhalde, startTime (President of Argentina), 2002-01-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (President of Argentina) Context triple: [Eduardo Duhalde, startTime (President of Argentina), 2002-01-02]
-
A.
startTime (President of Poland)
Indicates the point in time at which a person begins serving as President of Poland.
-
B.
startTime (President of the Chamber of Deputies)
Indicates the date and time at which a person began serving as President of the Chamber of Deputies.
-
C.
startTime (President of Portugal)
Indicates the point in time at which a person begins serving as President of Portugal.
-
D.
startTime (President of Germany)
Indicates the point in time at which a person’s term as President of Germany begins.
-
E.
officeStartAsViceroyOfRíoDeLaPlata
Indicates the time or event when someone begins serving in the office of Viceroy of the Río de la Plata.
- 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.