Triple

T9509824
Position Surface form Disambiguated ID Type / Status
Subject Ugu District Municipality E229363 entity
Predicate includesTown P847 FINISHED
Object Pennington E779563 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: Pennington | Statement: [Ugu District Municipality, includesTown, Pennington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pennington
Context triple: [Ugu District Municipality, includesTown, Pennington]
  • A. Pennington chosen
    Pennington is a small coastal town and holiday destination on South Africa’s KwaZulu-Natal South Coast, known for its beaches, golf course, and relaxed seaside atmosphere.
  • B. Pennington
    Pennington is a small borough in Mercer County, New Jersey, known for its historic character and residential community.
  • C. Tilton
    Tilton is a locality in the United Kingdom notable for lending its name to the territorial designation of the peerage title Baron Keynes of Tilton.
  • D. Jennings
    Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
  • E. Davison
    Davison is the middle name of American industrialist and philanthropist John D. Rockefeller, one of the most influential figures in the history of the oil industry.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9857058881909e0a40e2024a7b4c completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a31600c8190a4a7ecb5231caa36 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.