Triple

T15820534
Position Surface form Disambiguated ID Type / Status
Subject Broad Street Market E383594 entity
Predicate city P40 FINISHED
Object Harrisburg E81277 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: Harrisburg | Statement: [Broad Street Market, city, Harrisburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrisburg
Context triple: [Broad Street Market, city, Harrisburg]
  • A. Harrisburg
    Harrisburg is a small but growing city in southeastern South Dakota that functions largely as a residential suburb of nearby Sioux Falls.
  • B. Harrisburg, Pennsylvania chosen
    Harrisburg, Pennsylvania is the capital city of the U.S. state of Pennsylvania, located along the Susquehanna River and known historically as a major transportation and industrial hub.
  • C. Washington, Pennsylvania
    Washington, Pennsylvania is a small city in southwestern Pennsylvania known for its historic role in the Whiskey Rebellion and as home to Washington & Jefferson College.
  • D. Scranton
    Scranton is a historic industrial city in northeastern Pennsylvania known for its coal-mining heritage, railroads, and role as a cultural and economic center of the region.
  • E. Philadelphia–Harrisburg
    Philadelphia–Harrisburg is the key intercity rail segment in Pennsylvania linking the state’s largest city with its capital along Amtrak’s Keystone Corridor.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a7ba4881908a2747bf063d79f1 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93be478819099908e7242f532d7 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:49 a.m.