Triple

T27351809
Position Surface form Disambiguated ID Type / Status
Subject Zibo Railway Station E684377 entity
Predicate hasFacility P105 FINISHED
Object ticket offices 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: ticket offices | Statement: [Zibo Railway Station, hasFacility, ticket offices]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69ef1480a76481908684256ddd5bfda3 elicitation completed
NER batch_69f62ba8515881908899834ffc730a6e ner completed
Created at: April 27, 2026, 11:49 a.m.