Triple

T26171016
Position Surface form Disambiguated ID Type / Status
Subject American Sociological Association E654400 entity
Predicate hasEvent P811 FINISHED
Object ASA Annual Meeting
The ASA Annual Meeting is the flagship scholarly conference of the American Sociological Association, where sociologists gather to present research, network, and discuss developments in the field.
 E1712364 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: ASA Annual Meeting | Statement: [American Sociological Association, hasEvent, ASA Annual Meeting]
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: ASA Annual Meeting
Triple: [American Sociological Association, hasEvent, ASA Annual Meeting]
Generated description
The ASA Annual Meeting is the flagship scholarly conference of the American Sociological Association, where sociologists gather to present research, network, and discuss developments in the field.

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_69ee5b44391c81908bdbd8813ba9aa99 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c435d748190abc1b63303721551 completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11277b7bac81908799caea4b493660 completed May 23, 2026, 4:05 a.m.
NEDg Description generation batch_6a114ddf95c8819090e2e2d6fa5e3ac6 completed May 23, 2026, 6:49 a.m.
NED2 Entity disambiguation (via description) batch_6a114e96c4108190ba472aabc8d5d9f6 completed May 23, 2026, 6:52 a.m.
Created at: April 26, 2026, 8:35 p.m.