Triple

T33698324
Position Surface form Disambiguated ID Type / Status
Subject Canal Basin Festival E863379 entity
Predicate relatedTo P37 FINISHED
Object Hollidaysburg Canal Basin Park
Hollidaysburg Canal Basin Park is a historic site and public park in Hollidaysburg, Pennsylvania, preserving and interpreting the region’s 19th-century canal and transportation heritage.
E2062861 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: Hollidaysburg Canal Basin Park | Statement: [Canal Basin Festival, relatedTo, Hollidaysburg Canal Basin Park]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hollidaysburg Canal Basin Park
Triple: [Canal Basin Festival, relatedTo, Hollidaysburg Canal Basin Park]
Generated description
Hollidaysburg Canal Basin Park is a historic site and public park in Hollidaysburg, Pennsylvania, preserving and interpreting the region’s 19th-century canal and transportation heritage.

Provenance (5 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_69f3498723a08190ac034339cc78eade completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fa8b1c5881909fb8765b592a28bf completed May 3, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a363c9d90d08190bd892d3b72df967c completed June 20, 2026, 7:09 a.m.
NEDg Description generation batch_6a3647d80da88190b97e307bd57c1546 completed June 20, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_6a3648af743c8190bfdc0af46f3cac1a completed June 20, 2026, 8 a.m.
Created at: May 1, 2026, 1:43 a.m.