Triple

T23916775
Position Surface form Disambiguated ID Type / Status
Subject Office of Economic Opportunity E602104 entity
Predicate replacedBy P101 FINISHED
Object Community Services Administration
The Community Services Administration was a former U.S. federal agency responsible for administering anti-poverty and community action programs during the 1970s and early 1980s.
 E1608625 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: Community Services Administration | Statement: [Office of Economic Opportunity, replacedBy, Community Services Administration]
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: Community Services Administration
Triple: [Office of Economic Opportunity, replacedBy, Community Services Administration]
Generated description
The Community Services Administration was a former U.S. federal agency responsible for administering anti-poverty and community action programs during the 1970s and early 1980s.

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_69e2953a187081908346a9f36e85fc98 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ce9a744c819080bd30176b8de9a0 completed April 29, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f763baea88190b70e978613e53fd0 completed May 21, 2026, 9:16 p.m.
NEDg Description generation batch_6a0f7721b65481908b58b4d68e50768c completed May 21, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7893346c81908879db417e4854d1 completed May 21, 2026, 9:26 p.m.
Created at: April 17, 2026, 8:40 p.m.