Triple

T10047170
Position Surface form Disambiguated ID Type / Status
Subject Portalegre District E207644 entity
Predicate hasMunicipality P847 FINISHED
Object Nisa E709437 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: Nisa | Statement: [Portalegre District, hasMunicipality, Nisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nisa
Context triple: [Portalegre District, hasMunicipality, Nisa]
  • A. Nisa
    Nisa was an ancient city that served as an early royal center of the Parthian Empire, located near present-day Ashgabat in Turkmenistan.
  • B. Nisa chosen
    Nisa is a town that is twinned with Liberec, forming part of an international municipal partnership.
  • C. An Nisa
    An Nisa is the fourth chapter of the Quran, known for its detailed guidance on social justice, family law, and the rights and responsibilities of women and orphans in Islamic society.
  • D. The Twa Herds
    "The Twa Herds" is a satirical poem by Robert Burns that mocks religious hypocrisy and clerical disputes in 18th-century Scotland.
  • E. Naven
    Naven is an anthropological study by Gregory Bateson that analyzes the ritual practices and social structure of the Iatmul people of New Guinea.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf664dd881908786fcd802bf10da completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282888bac81909ccb5db5724c416d completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:56 p.m.