Triple
T25074423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahmoud Ahmadinejad |
E628007
|
entity |
| Predicate | endTime (Mayor of Tehran) |
P158400
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Mahmoud Ahmadinejad, endTime (Mayor of Tehran), 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Mayor of Tehran) Context triple: [Mahmoud Ahmadinejad, endTime (Mayor of Tehran), 2005]
-
A.
endTime (Mayor of Taipei)
Indicates the point in time at which a person’s tenure as Mayor of Taipei concludes.
-
B.
endTime (Mayor of Madrid)
Indicates the point in time at which a person’s tenure as Mayor of Madrid concludes.
-
C.
endTime (Mayor of Florence)
Indicates the point in time at which a person’s tenure as Mayor of Florence comes to an end.
-
D.
endTime (Mayor of Paterson)
Indicates the point in time at which a person’s tenure as Mayor of Paterson concludes.
-
E.
endTime (Director-General of ASI)
Indicates the point in time at which a person’s tenure as Director-General of ASI concludes.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 18, 2026, 6:20 a.m.