Triple

T28172852
Position Surface form Disambiguated ID Type / Status
Subject Newport, Pennsylvania E715506 entity
Predicate hasHistoricDistrict P295 FINISHED
Object Newport Historic District
The Newport Historic District is a preserved area in Newport, Pennsylvania, known for its collection of 19th- and early 20th-century buildings that reflect the town’s historical development and architectural heritage.
E1806024 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: Newport Historic District | Statement: [Newport, Pennsylvania, hasHistoricDistrict, Newport 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: Newport Historic District
Triple: [Newport, Pennsylvania, hasHistoricDistrict, Newport Historic District]
Generated description
The Newport Historic District is a preserved area in Newport, Pennsylvania, known for its collection of 19th- and early 20th-century buildings that reflect the town’s historical development and architectural 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_69efd6b340f0819095680e15dcdc1830 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6423853ec8190892ecc3e097deeb3 completed May 2, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7bf87e48190ae1d7df3128c8901 completed May 26, 2026, 5:26 p.m.
NEDg Description generation batch_6a15dabd41e481909df6a70b780239b7 completed May 26, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a15db4d7ce88190b7a2331691b812df completed May 26, 2026, 5:41 p.m.
Created at: April 27, 2026, 10:14 p.m.