Triple

T16726582
Position Surface form Disambiguated ID Type / Status
Subject Ngwathe Local Municipality E406478 entity
Predicate administers P123 FINISHED
Object Heilbron E89527 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: Heilbron | Statement: [Ngwathe Local Municipality, administers, Heilbron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heilbron
Context triple: [Ngwathe Local Municipality, administers, Heilbron]
  • A. Heilbron chosen
    Heilbron is a town in South Africa’s Free State province that historically served as a parliamentary constituency, including for figures such as Hendrik Verwoerd.
  • B. Gersfeld
    Gersfeld is a small German town in the state of Hesse, known as a gateway to the Rhön Mountains and a base for outdoor activities like hiking and winter sports.
  • C. Brannenburg
    Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
  • D. Westphal
    Westphal is a German-origin surname borne by various notable individuals in fields such as sports, politics, and academia.
  • E. Duderstadt
    Duderstadt is a historic small town in southern Lower Saxony, Germany, known for its well-preserved medieval timber-framed architecture and role as a regional center in the Eichsfeld area.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38747e43c8190a44487c4a9c94c7b completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4627b8819087bbd3ae85a67dfc completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.