Triple

T7046041
Position Surface form Disambiguated ID Type / Status
Subject SAARC Preferential Trading Arrangement E163632 entity
Predicate feature P374 FINISHED
Object non-reciprocal concessions for least developed member countries 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: non-reciprocal concessions for least developed member countries | Statement: [SAARC Preferential Trading Arrangement, feature, non-reciprocal concessions for least developed member countries]

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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e238c7a4819095f5ff7283d48da8 completed March 27, 2026, 8:02 p.m.
Created at: March 27, 2026, 2:37 p.m.