Triple

T8999113
Position Surface form Disambiguated ID Type / Status
Subject Higher Education and Research Act 2017 E214997 entity
Predicate longTitle P1116 FINISHED
Object An Act to make provision about higher education and research; and to make provision about alternative payments to students in higher or further education. LITERAL FINISHED

How this triple was built (1 step)

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: An Act to make provision about higher education and research; and to make provision about alternative payments to students in higher or further education. | Statement: [Higher Education and Research Act 2017, longTitle, An Act to make provision about higher education and research; and to make provision about alternative payments to students in higher or further education.]

Provenance (2 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68e23734819083a98f4ff0942479 completed April 1, 2026, 12:37 a.m.
Created at: March 30, 2026, 7:05 p.m.