Triple

T29313910
Position Surface form Disambiguated ID Type / Status
Subject New York City legal community E743324 entity
Predicate includesOrganization P12024 FINISHED
Object New York Legal Assistance Group
New York Legal Assistance Group is a nonprofit organization that provides free civil legal services to low-income and vulnerable residents of New York.
E1860973 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: New York Legal Assistance Group | Statement: [New York City legal community, includesOrganization, New York Legal Assistance Group]
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: New York Legal Assistance Group
Triple: [New York City legal community, includesOrganization, New York Legal Assistance Group]
Generated description
New York Legal Assistance Group is a nonprofit organization that provides free civil legal services to low-income and vulnerable residents of New York.

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_69f0912502c8819087d9e8398ee991a8 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f665e8645881908b929b57b866b6d3 completed May 2, 2026, 9 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a86c38fc819086372adeade1e263 completed June 7, 2026, 5:20 p.m.
NEDg Description generation batch_6a25accca754819087850f98ba074aeb completed June 7, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a25b1426d488190b7d2a0546ab29f59 completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 1:18 p.m.