Triple

T35107520
Position Surface form Disambiguated ID Type / Status
Subject Yatağan E1013192 entity
Predicate governedBy P46 FINISHED
Object Yatağan Municipality
Yatağan Municipality is the local government authority responsible for administering public services and urban management in the town and district of Yatağan in southwestern Turkey.
E2125144 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: Yatağan Municipality | Statement: [Yatağan, governedBy, Yatağan Municipality]
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: Yatağan Municipality
Triple: [Yatağan, governedBy, Yatağan Municipality]
Generated description
Yatağan Municipality is the local government authority responsible for administering public services and urban management in the town and district of Yatağan in southwestern Turkey.

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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c13b99c81909c5ef3d62aeeca39 completed May 3, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cffac58481909a973bf9513a4011 completed June 21, 2026, 11:50 a.m.
NEDg Description generation batch_6a37d0a8cc748190989640faa3a1c600 completed June 21, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a37d14269d8819096db1bd0f62ed272 completed June 21, 2026, 11:55 a.m.
Created at: May 3, 2026, 4:01 p.m.