Triple

T31263657
Position Surface form Disambiguated ID Type / Status
Subject XVI Commonwealth Games E797189 entity
Predicate nextEdition P2686 FINISHED
Object XVII Commonwealth Games
The XVII Commonwealth Games were the 17th edition of the international multi-sport event for athletes from the Commonwealth of Nations.
 E1960103 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: XVII Commonwealth Games | Statement: [XVI Commonwealth Games, nextEdition, XVII Commonwealth Games]
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: XVII Commonwealth Games
Triple: [XVI Commonwealth Games, nextEdition, XVII Commonwealth Games]
Generated description
The XVII Commonwealth Games were the 17th edition of the international multi-sport event for athletes from the Commonwealth of Nations.

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_69f224dd5fdc81908a4cd24917b67668 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69d8efb2c81909b7176c3c71901b0 completed May 3, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad2222c7c819089584ba33a3e32bc completed June 11, 2026, 3:20 p.m.
NEDg Description generation batch_6a2ad61d68288190a6cdfc1131501945 completed June 11, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_6a2ae15e581c81909bb1cd58b50096d7 completed June 11, 2026, 4:25 p.m.
Created at: April 29, 2026, 9:12 p.m.