Triple
T9724733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrique Tierno Galván |
E235576
|
entity |
| Predicate | endTime (Mayor of Madrid) |
P90671
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Enrique Tierno Galván, endTime (Mayor of Madrid), 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Mayor of Madrid) Context triple: [Enrique Tierno Galván, endTime (Mayor of Madrid), 1986]
-
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 North York)
Indicates the point in time at which a person’s tenure as mayor of North York concludes.
-
C.
endTime (position: First Lady of Mexico)
Indicates the point in time at which an individual’s tenure as First Lady of Mexico concludes.
-
D.
endTime (as Mayor of Detroit)
Indicates the date and time at which a person’s tenure as Mayor of Detroit concludes.
-
E.
endTime (term as President of Italy)
Indicates the point in time at which an individual's term as President of Italy officially 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd07c5c978819084abc7267a5ced80 |
completed | April 1, 2026, 11:55 a.m. |
Created at: March 30, 2026, 8:21 p.m.