Triple

T31748736
Position Surface form Disambiguated ID Type / Status
Subject Star Junction Historic District E810347 entity
Predicate locatedIn P40 FINISHED
Object Star Junction, Pennsylvania
Star Junction, Pennsylvania is a small historic coal-mining community in Fayette County known for its early 20th-century company town architecture and preserved historic district.
E1975872 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: Star Junction, Pennsylvania | Statement: [Star Junction Historic District, locatedIn, Star Junction, Pennsylvania]
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: Star Junction, Pennsylvania
Triple: [Star Junction Historic District, locatedIn, Star Junction, Pennsylvania]
Generated description
Star Junction, Pennsylvania is a small historic coal-mining community in Fayette County known for its early 20th-century company town architecture and preserved historic district.

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_69f348e233cc819083b6695f70cd75d8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab5085f08190ae20fb000bbc2991 completed May 3, 2026, 1:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b948722a08190b8595d25f8db18bb completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2b955c66288190bdca1c3033f59c7c completed June 12, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_6a2b967c9eb48190bb9b86d606233de2 completed June 12, 2026, 5:17 a.m.
Created at: April 30, 2026, 11:27 p.m.