Triple

T7706948
Position Surface form Disambiguated ID Type / Status
Subject Northern Indiana E174642 entity
Predicate hasMajorCity P316 FINISHED
Object Granger E165308 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: Granger | Statement: [Northern Indiana, hasMajorCity, Granger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granger
Context triple: [Northern Indiana, hasMajorCity, Granger]
  • A. Granger
    Granger is the wise, book-loving leader of a group of intellectual exiles who guides Montag after his escape from the oppressive society in Ray Bradbury’s *Fahrenheit 451*.
  • B. Granger chosen
    Granger is a surname most notably associated with former NBA All-Star forward Danny Granger.
  • C. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702a93f288190a53bbe6620417528 completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acc48708819082d58218eb753327 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.