Triple

T35936700

Position	Surface form	Disambiguated ID	Type / Status
Subject	Syrian Turkmen Assembly	`E1039324`	entity
Predicate	coordinates	`P1076`	FINISHED
Object	Syrian Turkmen armed factions Syrian Turkmen armed factions are predominantly Turkmen opposition militias in Syria that have fought against the Assad government and, in many cases, cooperated closely with Turkey in the Syrian civil war.	`E2161501`	NE 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: Syrian Turkmen armed factions | Statement: [Syrian Turkmen Assembly, coordinates, Syrian Turkmen armed factions]

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: Syrian Turkmen armed factions
Triple: [Syrian Turkmen Assembly, coordinates, Syrian Turkmen armed factions]

Generated description

Syrian Turkmen armed factions are predominantly Turkmen opposition militias in Syria that have fought against the Assad government and, in many cases, cooperated closely with Turkey in the Syrian civil war.

Provenance (5 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_69f76e24bbd0819096b837d35371639a`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f7abaa5b3c8190b206848cf6d9f1c5`	completed	May 3, 2026, 8:10 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38ae40b91081908079dbbfff85f8d3`	completed	June 22, 2026, 3:38 a.m.
NEDg	Description generation	`batch_6a38af4815f88190ac2b6a066858a1c9`	completed	June 22, 2026, 3:43 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38afcce12c8190ba69d9dc33f5a8d7`	completed	June 22, 2026, 3:45 a.m.

Created at: May 3, 2026, 4:07 p.m.