Triple

T25060631
Position Surface form Disambiguated ID Type / Status
Subject Unity of Labor E627646 entity
Predicate supportedBy P67 FINISHED
Object Jewish labor organizations
Jewish labor organizations are worker-led groups formed within Jewish communities to advocate for labor rights, social justice, and improved working conditions, often rooted in socialist and trade union traditions.
E376539 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: Jewish labor organizations | Statement: [Unity of Labor, supportedBy, Jewish labor organizations]
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: Jewish labor organizations
Triple: [Unity of Labor, supportedBy, Jewish labor organizations]
Generated description
Jewish labor organizations are worker-led groups formed within Jewish communities to advocate for labor rights, social justice, and improved working conditions, often rooted in socialist and trade union traditions.

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_69e2ff2c45f48190afa28369f1df6786 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4599935f0819088f542f6b702f6d5 completed May 1, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048d34dac8190b7b4d91526c99274 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a10498fb6548190b050f4d94f373f43 completed May 22, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a104a151da88190a2d8aba44f1dd924 completed May 22, 2026, 12:20 p.m.
Created at: April 18, 2026, 6:10 a.m.