Triple

T8098538
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Nivelles E189046 entity
Predicate containsMunicipality P852 FINISHED
Object Perwez E698487 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: Perwez | Statement: [Arrondissement of Nivelles, containsMunicipality, Perwez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perwez
Context triple: [Arrondissement of Nivelles, containsMunicipality, Perwez]
  • A. Perwez chosen
    Perwez is a municipality in the province of Walloon Brabant in the French-speaking Walloon region of Belgium.
  • B. Pervez
    Pervez is the given name of Pervez Musharraf, the former President and military ruler of Pakistan.
  • C. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • D. Maharraqa
    Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
  • E. Shahzada
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42961ad4819085d023427fc5ac5f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc641a4b4881908a1aec4bc2ed619e completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.