Triple

T12802391
Position Surface form Disambiguated ID Type / Status
Subject Planning (Listed Buildings and Conservation Areas) Act 1990 E306052 entity
Predicate dutyDescription P75527 FINISHED
Object duty to pay special attention to the desirability of preserving or enhancing the character or appearance of conservation areas 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: duty to pay special attention to the desirability of preserving or enhancing the character or appearance of conservation areas | Statement: [Planning (Listed Buildings and Conservation Areas) Act 1990, dutyDescription, duty to pay special attention to the desirability of preserving or enhancing the character or appearance of conservation areas]

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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96facb2d48190bc12efc00c9da360 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:30 p.m.