Triple
T2061396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welfare Party |
E45796
|
entity |
| Predicate | wonMayoraltyOf |
P35539
|
FINISHED |
| Object | Istanbul in 1994 local elections |
—
|
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: Istanbul in 1994 local elections | Statement: [Welfare Party, wonMayoraltyOf, Istanbul in 1994 local elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonMayoraltyOf Context triple: [Welfare Party, wonMayoraltyOf, Istanbul in 1994 local elections]
-
A.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
B.
numberOfTermsAsMayor
Indicates the number of distinct terms an individual has served in the role of mayor.
-
C.
hasCityManager
Indicates that an entity has a specific individual who serves in the role of city manager for it.
-
D.
mayoralTermStart
Indicates the date or point in time when an individual's tenure as mayor officially begins.
-
E.
hasBoroughPresident
Indicates that a borough is associated with a specific individual who serves as its president or chief elected official.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d0ecf08190aec20338a6ba9911 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb92f90a881909a1f10b060132a9e |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:40 p.m.