Triple

T7960877
Position Surface form Disambiguated ID Type / Status
Subject Red Zone, Islamabad E184861 entity
Predicate contains P35 FINISHED
Object Pak Secretariat E696260 NE FINISHED

How this triple was built (2 steps)

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: Pak Secretariat | Statement: [Red Zone, Islamabad, contains, Pak Secretariat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pak Secretariat
Context triple: [Red Zone, Islamabad, contains, Pak Secretariat]
  • A. Pakistan Secretariat chosen
    Pakistan Secretariat is the principal administrative complex in Islamabad that houses the key ministries and federal government offices of Pakistan.
  • B. Parliament House, Islamabad
    Parliament House, Islamabad is the purpose-built complex in Pakistan’s capital that serves as the seat of the country’s bicameral national legislature.
  • C. Sindh Secretariat
    Sindh Secretariat is the principal administrative complex of the Government of Sindh in Karachi, housing the offices of top provincial officials and key government departments.
  • D. Rastrapati Karyalaya
    Rastrapati Karyalaya is the official institution that supports and administers the functions of the President of Nepal.
  • E. Prime Minister’s Office complex
    The Prime Minister’s Office complex is the central government hub in Tokyo that houses the Japanese prime minister’s offices and key administrative and legislative support bodies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b8256dc8190a4b73df7aded9097 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566604e881908792c7155a370e4c completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:12 p.m.