Triple
T9724732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrique Tierno Galván |
E235576
|
entity |
| Predicate | startTime (Mayor of Madrid) |
P17454
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Enrique Tierno Galván, startTime (Mayor of Madrid), 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Mayor of Madrid) Context triple: [Enrique Tierno Galván, startTime (Mayor of Madrid), 1979]
-
A.
startTime (Mayor of Taipei)
Indicates the specific point in time when a person begins serving as Mayor of Taipei.
-
B.
startTime (President of Portugal)
Indicates the point in time at which a person begins serving as President of Portugal.
-
C.
endTime (Mayor of Taipei)
Indicates the point in time at which a person’s tenure as Mayor of Taipei concludes.
-
D.
mayoralTermStart
chosen
Indicates the date or point in time when an individual's tenure as mayor officially begins.
-
E.
startTime (President of Poland)
Indicates the point in time at which a person begins serving as President of Poland.
- F. None of above.
Provenance (3 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. |
Created at: March 30, 2026, 8:21 p.m.