Triple

T4070178
Position Surface form Disambiguated ID Type / Status
Subject Porter, Indiana E86626 entity
Predicate adjacentTo P224 FINISHED
Object Portage, Indiana E203016 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: Portage, Indiana | Statement: [Porter, Indiana, adjacentTo, Portage, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portage, Indiana
Context triple: [Porter, Indiana, adjacentTo, Portage, Indiana]
  • A. Portage, Indiana chosen
    Portage, Indiana is a city in northwestern Indiana near Lake Michigan, known as a key industrial and transportation hub within the Chicago metropolitan area.
  • B. Valparaiso, Indiana
    Valparaiso, Indiana is a small city in northwestern Indiana known for hosting Valparaiso University and serving as a regional cultural and educational center.
  • C. Portage
    Portage is Gentoo Linux’s highly configurable source-based package management system that automates compiling, installing, and updating software.
  • D. Fort Wayne, Indiana
    Fort Wayne, Indiana is a major city in northeastern Indiana known as a regional economic, cultural, and manufacturing hub.
  • E. Boston, Indiana
    Boston, Indiana is a small rural community located in Wayne County in the eastern part of the state near the Ohio border.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbfa45c88190b7b13b35de816378 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57698f5a48190991526fb26d451fb completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:38 p.m.