Triple

T23991845
Position Surface form Disambiguated ID Type / Status
Subject Everett, Pennsylvania E605085 entity
Predicate locatedNear P294 FINISHED
Object Rays Hill
Rays Hill is a ridge in south-central Pennsylvania that forms part of the Appalachian Mountains and is known for the nearby abandoned Rays Hill Tunnel on the Pennsylvania Turnpike.
E1613601 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: Rays Hill | Statement: [Everett, Pennsylvania, locatedNear, Rays Hill]
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: Rays Hill
Triple: [Everett, Pennsylvania, locatedNear, Rays Hill]
Generated description
Rays Hill is a ridge in south-central Pennsylvania that forms part of the Appalachian Mountains and is known for the nearby abandoned Rays Hill Tunnel on the Pennsylvania Turnpike.

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_69e295463f7c8190b1c19dbd114641b9 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d38c28d48190937660529bbced19 completed April 29, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e8e7b288190a33fed8a5eadbcbc completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f6e3808819084a560d1a0048882 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f801244d08190b9403a8a7bfe520e completed May 21, 2026, 9:58 p.m.
Created at: April 17, 2026, 9:37 p.m.