Triple

T32094041
Position Surface form Disambiguated ID Type / Status
Subject Top League playoffs E819677 entity
Predicate determines P1033 FINISHED
Object Top League overall winner
The Top League overall winner is the team crowned season champion of the Top League after the completion of its playoff competition.
E1990879 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: Top League overall winner | Statement: [Top League playoffs, determines, Top League overall winner]
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: Top League overall winner
Triple: [Top League playoffs, determines, Top League overall winner]
Generated description
The Top League overall winner is the team crowned season champion of the Top League after the completion of its playoff competition.

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_69f349004b2481908ce2e50af0d579a8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b6405b1881908f9739bf6af05dd1 completed May 3, 2026, 2:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eddf768448190b98751e5c40e0bce completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2edea2a2e8819087f7ba8685391436 completed June 14, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_6a2edf61f11081909a3eb6468d916240 completed June 14, 2026, 5:05 p.m.
Created at: May 1, 2026, 12:25 a.m.