Triple

T7706935
Position Surface form Disambiguated ID Type / Status
Subject Northern Indiana E174642 entity
Predicate hasMajorCity P316 FINISHED
Object Valparaiso E267211 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: Valparaiso | Statement: [Northern Indiana, hasMajorCity, Valparaiso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valparaiso
Context triple: [Northern Indiana, hasMajorCity, Valparaiso]
  • A. Valparaiso, Indiana chosen
    Valparaiso, Indiana is a small city in northwestern Indiana known for hosting Valparaiso University and serving as a regional cultural and educational center.
  • B. Michigan City, Indiana
    Michigan City, Indiana is a small city on the southern shore of Lake Michigan known as a gateway to the Indiana Dunes and a regional hub for lakefront recreation and tourism.
  • C. Evansville
    Evansville is a major city in southwestern Indiana located along the Ohio River and serving as a regional economic and cultural hub.
  • D. Mishawaka, Indiana
    Mishawaka, Indiana is a city in northern Indiana near South Bend, known for its manufacturing history and as the longtime base of vehicle maker AM General.
  • E. Madison, Indiana
    Madison, Indiana is a historic river town on the Ohio River known for its well-preserved 19th-century architecture and vibrant small-town cultural life.
  • 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_69c8c7bca3208190b214e3ebb8fe8c0b completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:04 p.m.