Triple

T31595901
Position Surface form Disambiguated ID Type / Status
Subject Iranian human rights movement E806215 entity
Predicate relatedTo P37 FINISHED
Object Iranian labor movement
The Iranian labor movement is a long-standing struggle by workers and trade unions in Iran for better wages, working conditions, and political rights, often intersecting with broader democratic and human rights campaigns.
 E1969015 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: Iranian labor movement | Statement: [Iranian human rights movement, relatedTo, Iranian labor movement]
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: Iranian labor movement
Triple: [Iranian human rights movement, relatedTo, Iranian labor movement]
Generated description
The Iranian labor movement is a long-standing struggle by workers and trade unions in Iran for better wages, working conditions, and political rights, often intersecting with broader democratic and human rights campaigns.

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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8351f14819084cc7cb548cb6645 completed May 3, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b56550d70819088b6012b38610d67 completed June 12, 2026, 12:44 a.m.
NEDg Description generation batch_6a2b589839208190b8adc674ec46a413 completed June 12, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_6a2b5ab9e418819084b93205bc7bb374 completed June 12, 2026, 1:02 a.m.
Created at: April 30, 2026, 10:30 p.m.