Triple

T34628501
Position Surface form Disambiguated ID Type / Status
Subject family policy of Turkey E889206 entity
Predicate implementedBy P172 FINISHED
Object Ministry of Labour and Social Security
The Ministry of Labour and Social Security is a Turkish government ministry responsible for regulating employment, labor relations, social insurance, and welfare policies across the country.
E2104598 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: Ministry of Labour and Social Security | Statement: [family policy of Turkey, implementedBy, Ministry of Labour and Social Security]
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: Ministry of Labour and Social Security
Triple: [family policy of Turkey, implementedBy, Ministry of Labour and Social Security]
Generated description
The Ministry of Labour and Social Security is a Turkish government ministry responsible for regulating employment, labor relations, social insurance, and welfare policies across the country.

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_69f349d64a388190a013cfa9bd33fad7 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72266236081908b34bf1adcaef143 completed May 3, 2026, 10:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37412141348190b6743af6a78e880d completed June 21, 2026, 1:40 a.m.
NEDg Description generation batch_6a37439ff6b08190b214789a9a4a2a1b completed June 21, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_6a37441b02348190ab252640032b8570 completed June 21, 2026, 1:53 a.m.
Created at: May 1, 2026, 2:04 a.m.