Triple

T28733749
Position Surface form Disambiguated ID Type / Status
Subject Trimsaran E730735 entity
Predicate hasAmenity P105 FINISHED
Object Trimsaran Rugby Football Club
Trimsaran Rugby Football Club is a Welsh rugby union club based in the village of Trimsaran, known for its strong local community roots and contribution to regional rugby development.
E1832190 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: Trimsaran Rugby Football Club | Statement: [Trimsaran, hasAmenity, Trimsaran Rugby Football Club]
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: Trimsaran Rugby Football Club
Triple: [Trimsaran, hasAmenity, Trimsaran Rugby Football Club]
Generated description
Trimsaran Rugby Football Club is a Welsh rugby union club based in the village of Trimsaran, known for its strong local community roots and contribution to regional rugby development.

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_69f043eae0908190b28ce314686247d7 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65769c27c8190b02daa1971d6a240 completed May 2, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf64ceec8190b8d00a021a6edaf7 completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a249437ba308190b0e40496c8e38562 completed June 6, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a2498d0c39481908a79cf81b510f6d7 completed June 6, 2026, 10:01 p.m.
Created at: April 28, 2026, 5:59 a.m.