Triple
T12919473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izmir Metropolitan Municipal Council |
E309075
|
entity |
| Predicate | hasExtraordinarySessions |
P4271
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Izmir Metropolitan Municipal Council, hasExtraordinarySessions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtraordinarySessions Context triple: [Izmir Metropolitan Municipal Council, hasExtraordinarySessions, yes]
-
A.
hasExtraordinaryExercise
Indicates that an entity engages in an unusually intense, prolonged, or otherwise exceptional level of physical exercise beyond typical norms.
-
B.
hasAfterHoursSession
Indicates that an entity conducts or participates in a session that takes place outside of regular or standard operating hours.
-
C.
canHoldSpecialSessions
chosen
Indicates that an entity has the authority or capability to convene special or extraordinary sessions outside the regular schedule.
-
D.
hasPlenarySessions
Indicates that an event or organization includes formal plenary sessions as part of its activities or structure.
-
E.
hasOccasionalEvent
Indicates that an event or activity occurs irregularly or infrequently in relation to a given entity or context.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.