Triple

T27045686
Position Surface form Disambiguated ID Type / Status
Subject New York State Route 54 E684618 entity
Predicate hasJunctionWith P1018 FINISHED
Object New York State Route 54A
New York State Route 54A is a scenic state highway in New York that runs along the western shore of Keuka Lake, serving communities in the Finger Lakes region.
E684618 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 54A | Statement: [New York State Route 54, hasJunctionWith, New York State Route 54A]
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 54A
Triple: [New York State Route 54, hasJunctionWith, New York State Route 54A]
Generated description
New York State Route 54A is a scenic state highway in New York that runs along the western shore of Keuka Lake, serving communities in the Finger Lakes region.

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_69ef148193c48190bb1a0cfae6a407c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62270213c8190a6f991b6d4f3fbf6 completed May 2, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c4eb81ff48190b8d18da1c51de894 completed July 19, 2026, 4:12 a.m.
NEDg Description generation batch_6a5c4f1fd83081908e9fdca0fded8b9a completed July 19, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_6a5c506d42708190abc0135e57130f4a completed July 19, 2026, 4:19 a.m.
Created at: April 27, 2026, 8:09 a.m.