Triple

T31676333

Position	Surface form	Disambiguated ID	Type / Status
Subject	27th Parliament of Turkey	`E808408`	entity
Predicate	hasFirstDeputySpeaker	`P120291`	FINISHED
Object	Levent Gök Levent Gök is a Turkish politician who has served as a prominent parliamentary leader and deputy speaker in the Grand National Assembly of Turkey.	`E2264204`	NE FINISHED

How this triple was built (3 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: Levent Gök | Statement: [27th Parliament of Turkey, hasFirstDeputySpeaker, Levent Gök]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Levent Gök
Triple: [27th Parliament of Turkey, hasFirstDeputySpeaker, Levent Gök]

Generated description

Levent Gök is a Turkish politician who has served as a prominent parliamentary leader and deputy speaker in the Grand National Assembly of Turkey.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasFirstDeputySpeaker
Context triple: [27th Parliament of Turkey, hasFirstDeputySpeaker, Levent Gök]

A. hasDeputyChiefMinister
Indicates that an entity serves as the deputy chief minister of another entity (typically a political jurisdiction or government).
B. hasDeputeLeader
Indicates that an entity serves as the deputy leader (second-in-command) of another entity.
C. deputySpeaker chosen
Indicates that one entity serves as the deputy or vice speaker (second-in-command presiding officer) in relation to a legislative or deliberative body.
D. hasDeputyHeads
Indicates that an entity has one or more individuals serving in subordinate leadership roles as deputy heads.
E. hasDeputyLeaderTitle
Indicates that an entity holds a specific title associated with the role of deputy leader.
F. None of above.

Provenance (6 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_69f348dcf5d48190ac25b1365ae717a8`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_69fe96c2647c819082989f11e1ae3d35`	completed	May 9, 2026, 2:06 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a419ddaef408190a14d8eed3a94fc65`	completed	June 28, 2026, 10:19 p.m.
NEDg	Description generation	`batch_6a419f2252288190a5c82877f6e06af7`	completed	June 28, 2026, 10:24 p.m.
NED2	Entity disambiguation (via description)	`batch_6a419fc808308190a4b9f96e219b9d82`	completed	June 28, 2026, 10:27 p.m.
PD	Predicate disambiguation	`batch_69fe928615448190af939e5a94be55bb`	completed	May 9, 2026, 1:48 a.m.

Created at: April 30, 2026, 11:03 p.m.