Triple

T35140519
Position Surface form Disambiguated ID Type / Status
Subject IFIP Technical Assembly E1014690 entity
Predicate hasMember P10 FINISHED
Object IFIP Technical Committee 19
IFIP Technical Committee 19 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.
E2160228 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 19 | Statement: [IFIP Technical Assembly, hasMember, IFIP Technical Committee 19]
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 19
Triple: [IFIP Technical Assembly, hasMember, IFIP Technical Committee 19]
Generated description
IFIP Technical Committee 19 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_6a38a4ccfd9c81908ce17a8553135c56 completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a59a0184819080e951c76a48eb0c completed June 22, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_6a38a63caecc8190a4ac4eb8af4bb18b completed June 22, 2026, 3:04 a.m.
Created at: May 3, 2026, 4:02 p.m.