Triple

T2017856
Position Surface form Disambiguated ID Type / Status
Subject Southwest Philadelphia E44036 entity
Predicate contains P35 FINISHED
Object Kingsessing E53366 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: Kingsessing | Statement: [Southwest Philadelphia, contains, Kingsessing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsessing
Context triple: [Southwest Philadelphia, contains, Kingsessing]
  • A. Kingsessing chosen
    Kingsessing is a historic, predominantly residential neighborhood in Southwest Philadelphia known for its diverse community and urban park spaces.
  • B. Munderkingen
    Munderkingen is a small historic town in the Alb-Donau district of Baden-Württemberg in southern Germany, situated on the Danube River.
  • C. Kœnig
    Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
  • D. König
    König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
  • E. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8ce71788190ac21beff10b08122 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af1547481909d5f2ca9c4715ace completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.