Triple

T26086813

Position	Surface form	Disambiguated ID	Type / Status
Subject	Serhetabat District	`E658005`	entity
Predicate	formerNameOfCenter	`P65`	FINISHED
Object	Kushka Kushka is a town in southern Turkmenistan historically known as one of the Russian Empire’s southernmost outposts and a strategic border settlement near Afghanistan.	`E1708320`	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: Kushka | Statement: [Serhetabat District, formerNameOfCenter, Kushka]

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: Kushka
Triple: [Serhetabat District, formerNameOfCenter, Kushka]

Generated description

Kushka is a town in southern Turkmenistan historically known as one of the Russian Empire’s southernmost outposts and a strategic border settlement near Afghanistan.

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

Target predicate: formerNameOfCenter
Context triple: [Serhetabat District, formerNameOfCenter, Kushka]

A. formerName chosen
Indicates that an entity was previously known by a different name in the past.
B. formerMunicipalityCenterOf
Indicates that an entity once served as the administrative or central seat of a municipality that no longer exists in its former form.
C. formerNameOfDistrict
Indicates that one district previously had a different official name, which is the value linked by this predicate.
D. formerlyKnownLocationAs
Indicates that an entity was previously known or referred to by a different location name or designation.
E. formerNameOfAreaWithin
Indicates that one area previously had a different name while remaining within the same larger encompassing area.
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_69ee5bbf0d208190801ee95d4f07fb16`	completed	April 26, 2026, 6:38 p.m.
NER	Named-entity recognition	`batch_69f74c70fd248190a9d5543afcb08211`	completed	May 3, 2026, 1:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a111b39dc60819091f0625129f0e718`	completed	May 23, 2026, 3:12 a.m.
NEDg	Description generation	`batch_6a111c0a65f881908a29d01412627de9`	completed	May 23, 2026, 3:16 a.m.
NED2	Entity disambiguation (via description)	`batch_6a111ca03b088190937f673d972fdca2`	completed	May 23, 2026, 3:18 a.m.
PD	Predicate disambiguation	`batch_69f7478e3b548190a51d5d436e2bb036`	completed	May 3, 2026, 1:03 p.m.

Created at: April 26, 2026, 7:43 p.m.