Triple

T8879131
Position Surface form Disambiguated ID Type / Status
Subject Delaware Route 1 E211363 entity
Predicate terminusNorth P3375 FINISHED
Object Christiana E618173 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: Christiana | Statement: [Delaware Route 1, terminusNorth, Christiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiana
Context triple: [Delaware Route 1, terminusNorth, Christiana]
  • A. Christiana chosen
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • B. Bernardine
    Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
  • C. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • D. Constance
    Constance is a feminine given name of Latin origin, historically associated with nobility and meaning steadfastness or constancy.
  • E. Constance
    Constance is a historic city on Lake Constance in present-day Germany, best known as the site of the early 15th-century Council of Constance that ended the Western Schism in the Catholic Church.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614ad1908190a77808fcf7f3e531 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabb87c3481908cf11f2e246f42eb completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.