Triple

T35140522
Position Surface form Disambiguated ID Type / Status
Subject IFIP Technical Assembly E1014690 entity
Predicate hasMember P10 FINISHED
Object IFIP Technical Committee 22
IFIP Technical Committee 22 is a specialized working group within the International Federation for Information Processing focused on advancing research and collaboration in a particular area of information and communication technologies.
E2164228 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: IFIP Technical Committee 22 | Statement: [IFIP Technical Assembly, hasMember, IFIP Technical Committee 22]
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: IFIP Technical Committee 22
Triple: [IFIP Technical Assembly, hasMember, IFIP Technical Committee 22]
Generated description
IFIP Technical Committee 22 is a specialized working group within the International Federation for Information Processing focused on advancing research and collaboration in a particular area of information and communication technologies.

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_69f76dd9c1848190af70d4882a2c1ad7 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78ca911e081909d27bfe766d555d3 completed May 3, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38bfbaa8308190ab1a9b415ec7b9c5 completed June 22, 2026, 4:53 a.m.
NEDg Description generation batch_6a38c040b0788190883524c26fb778fd completed June 22, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a38c075cb388190858dd0e7ace83c5e completed June 22, 2026, 4:56 a.m.
Created at: May 3, 2026, 4:02 p.m.