Triple

T32352299
Position Surface form Disambiguated ID Type / Status
Subject World Technology Award for Policy E826638 entity
Predicate associatedWith P37 FINISHED
Object World Technology Network
The World Technology Network is a global organization that brings together and honors leading innovators, thinkers, and organizations shaping the future of technology and its impact on society.
E2004029 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: World Technology Network | Statement: [World Technology Award for Policy, associatedWith, World Technology Network]
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: World Technology Network
Triple: [World Technology Award for Policy, associatedWith, World Technology Network]
Generated description
The World Technology Network is a global organization that brings together and honors leading innovators, thinkers, and organizations shaping the future of technology and its impact on society.

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_69f34915a2588190bb3178f5ec2f48f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6be5b27408190ab72ab435a4279de completed May 3, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8a0e38c81909025180d1834ef5d completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33ea35394c8190b2a5d4aeea74a60b completed June 18, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_6a342e33f9e88190a624af38757446ce completed June 18, 2026, 5:43 p.m.
Created at: May 1, 2026, 12:49 a.m.