Triple

T27337906
Position Surface form Disambiguated ID Type / Status
Subject Schellsburg, Pennsylvania E690006 entity
Predicate hasHistoricDistrict P295 FINISHED
Object Schellsburg Historic District
Schellsburg Historic District is a nationally recognized historic area in Schellsburg, Pennsylvania, noted for its well-preserved 19th-century architecture and small-town streetscape.
E1768579 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: Schellsburg Historic District | Statement: [Schellsburg, Pennsylvania, hasHistoricDistrict, Schellsburg Historic District]
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: Schellsburg Historic District
Triple: [Schellsburg, Pennsylvania, hasHistoricDistrict, Schellsburg Historic District]
Generated description
Schellsburg Historic District is a nationally recognized historic area in Schellsburg, Pennsylvania, noted for its well-preserved 19th-century architecture and small-town streetscape.

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_69ef355e5b388190a8fc1eba9b4a6656 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62ad0b7b88190a69f8e8b2fc9fe3e completed May 2, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129cc3b6cc8190958d6539e40d723b completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129e576a30819090e27da9a40d1b46 completed May 24, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_6a129edec4ec81909ac951ee0720c7a5 completed May 24, 2026, 6:46 a.m.
Created at: April 27, 2026, 11:41 a.m.