Triple

T31438860

Position	Surface form	Disambiguated ID	Type / Status
Subject	1999 Turkish general election	`E802012`	entity
Predicate	thirdPartyAbbreviation	`P174425`	FINISHED
Object	FP FP was a Turkish political party active in the late 1990s and early 2000s, known for its Islamist roots and role as a successor to earlier banned religious-oriented parties.	`E1962973`	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: FP | Statement: [1999 Turkish general election, thirdPartyAbbreviation, FP]

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: FP
Triple: [1999 Turkish general election, thirdPartyAbbreviation, FP]

Generated description

FP was a Turkish political party active in the late 1990s and early 2000s, known for its Islamist roots and role as a successor to earlier banned religious-oriented parties.

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

Target predicate: thirdPartyAbbreviation
Context triple: [1999 Turkish general election, thirdPartyAbbreviation, FP]

A. abbreviationOfThirdParty chosen
Indicates that one term is an abbreviation or shortened form of a name or phrase that belongs to or is used by a third party.
B. fourthPartyAbbreviation
Indicates that one entity is used as an abbreviated or shortened form of the name or designation of a fourth-party entity.
C. fifthPartyAbbreviation
Indicates that an entity serves as an abbreviated or shortened form of the name or designation of a fifth party in the described context.
D. relatedOrganizationAbbreviation
Indicates that one organization is associated with another through a specific abbreviated form of its name or title.
E. alternativeAbbreviation
Indicates that one term serves as an alternative shortened form or acronym for another term.
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_69f348c5a6bc819092a557e95438976f`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_69f79f48acec8190a9d5964581a94f6c`	completed	May 3, 2026, 7:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2b077efc708190aa419c6094f4a99a`	completed	June 11, 2026, 7:07 p.m.
NEDg	Description generation	`batch_6a2b0846c0c88190b7c1b6a06e958fa3`	completed	June 11, 2026, 7:11 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2b09b430388190832809716830d009`	completed	June 11, 2026, 7:17 p.m.
PD	Predicate disambiguation	`batch_69f79e4888248190be2f63cdfb5cd7b7`	completed	May 3, 2026, 7:13 p.m.

Created at: April 30, 2026, 9:04 p.m.