Triple

T20042653
Position Surface form Disambiguated ID Type / Status
Subject Mass Giorgini E497464 entity
Predicate basedIn P40 FINISHED
Object Lafayette, Indiana NE NERFINISHED

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: Lafayette, Indiana | Statement: [Mass Giorgini, basedIn, Lafayette, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lafayette, Indiana
Context triple: [Mass Giorgini, basedIn, Lafayette, Indiana]
  • A. Lafayette, Indiana chosen
    Lafayette, Indiana is a mid-sized city in northwestern Indiana known as a regional economic and educational hub near Purdue University.
  • B. Terre Haute, Indiana
    Terre Haute, Indiana is a mid-sized city in western Indiana known historically as a regional industrial and transportation hub along major rail and river routes.
  • C. Vincennes, Indiana
    Vincennes, Indiana is a historic city in southwestern Indiana known as the state’s oldest city and an early frontier settlement along the Wabash River.
  • D. Jeffersonville, Indiana
    Jeffersonville, Indiana is a city on the Ohio River across from Louisville, Kentucky, known for its historic downtown, riverfront development, and role as a regional commercial and transportation hub.
  • E. Orleans, Indiana
    Orleans, Indiana is a small rural town in southern Indiana known for its historic town square and annual Dogwood Festival.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662ec9ae0819097032ff50d6215c2 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.