Triple

T27601296
Position Surface form Disambiguated ID Type / Status
Subject Tai’an railway station E700050 entity
Predicate hasService P182 FINISHED
Object waiting areas LITERAL FINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's LITERAL type shown above.

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: waiting areas | Statement: [Tai’an railway station, hasService, waiting areas]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69ef6a4e2e208190b63b7268f405785c elicitation completed
NER batch_69f63096763c8190befb3934bfdc9350 ner completed
Created at: April 27, 2026, 2:08 p.m.