Triple

T17295491
Position Surface form Disambiguated ID Type / Status
Subject Rodman, New York E419898 entity
Predicate roadAccess P385 FINISHED
Object New York State Route 177
New York State Route 177 is a state highway in northern New York that runs east–west across rural Jefferson and Lewis counties, connecting small communities and providing access to the Tug Hill region.
E1942322 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 177 | Statement: [Rodman, New York, roadAccess, New York State Route 177]
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 177
Triple: [Rodman, New York, roadAccess, New York State Route 177]
Generated description
New York State Route 177 is a state highway in northern New York that runs east–west across rural Jefferson and Lewis counties, connecting small communities and providing access to the Tug Hill 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437875b208190bcf0df2ded546257 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2917ff4e74819093d061c39817969d completed June 10, 2026, 7:53 a.m.
NEDg Description generation batch_6a29197be90c8190bba41e7a1a7f9222 completed June 10, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_6a291a7f7804819099458886138be398 completed June 10, 2026, 8:04 a.m.
Created at: April 10, 2026, 5:40 a.m.