Triple

T20429660
Position Surface form Disambiguated ID Type / Status
Subject New York State Route 104 E501095 entity
Predicate hasJunctionWith P1018 FINISHED
Object New York State Route 18
New York State Route 18 is a state highway in western New York that runs along the southern shore of Lake Ontario, connecting several lakeside communities and regional routes.
 E2282495 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: New York State Route 18 | Statement: [New York State Route 104, hasJunctionWith, New York State Route 18]
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: New York State Route 18
Triple: [New York State Route 104, hasJunctionWith, New York State Route 18]
Generated description
New York State Route 18 is a state highway in western New York that runs along the southern shore of Lake Ontario, connecting several lakeside communities and regional routes.

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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67bac39288190b294b291301ac843 completed April 20, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a421bcbf868819082f641f797227367 completed June 29, 2026, 7:16 a.m.
NEDg Description generation batch_6a421cabfd208190bd3c980fbfda846c completed June 29, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a421d3316a88190baf9d2f497a30f45 completed June 29, 2026, 7:22 a.m.
Created at: April 16, 2026, 11:31 a.m.