Triple

T27818591
Position Surface form Disambiguated ID Type / Status
Subject Hamlet, North Carolina E702749 entity
Predicate roadConnection P385 FINISHED
Object U.S. Route 74 (nearby/serving area)
U.S. Route 74 is a major east–west U.S. highway in the southeastern United States that connects inland communities to coastal areas across North Carolina and neighboring states.
E1791676 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: U.S. Route 74 (nearby/serving area) | Statement: [Hamlet, North Carolina, roadConnection, U.S. Route 74 (nearby/serving area)]
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: U.S. Route 74 (nearby/serving area)
Triple: [Hamlet, North Carolina, roadConnection, U.S. Route 74 (nearby/serving area)]
Generated description
U.S. Route 74 is a major east–west U.S. highway in the southeastern United States that connects inland communities to coastal areas across North Carolina and neighboring states.

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_69ef840ad1e88190b5bff2d1ddec8700 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6386cb0a08190aa7300c319d83884 completed May 2, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f723aab88190aadc5f05ede5f218 completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12fb496c188190abbbcd5200aa5457 completed May 24, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12fbcae8848190a75872e8fa7591fb completed May 24, 2026, 1:23 p.m.
Created at: April 27, 2026, 5:47 p.m.