Triple

T27892509
Position Surface form Disambiguated ID Type / Status
Subject Goa Football Association E705392 entity
Predicate organizesCompetition P527 FINISHED
Object Goa Professional League
The Goa Professional League is the top-tier state football league in Goa, India, featuring the region’s leading clubs in a structured, season-long competition.
E1800791 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: Goa Professional League | Statement: [Goa Football Association, organizesCompetition, Goa Professional League]
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: Goa Professional League
Triple: [Goa Football Association, organizesCompetition, Goa Professional League]
Generated description
The Goa Professional League is the top-tier state football league in Goa, India, featuring the region’s leading clubs in a structured, season-long 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_69ef96b39c448190a9b3aa6672a5168f completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f639b6405081908f52f931b59520ef completed May 2, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b881419481908e12fa7a8e7620a7 completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15beded7e8819091eda9666375ad5b completed May 26, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_6a15bf51a6c4819097eaaa711bdbe5f0 completed May 26, 2026, 3:42 p.m.
Created at: April 27, 2026, 6:36 p.m.