Triple

T36104026
Position Surface form Disambiguated ID Type / Status
Subject Nunda, New York E1044299 entity
Predicate transportation P230 FINISHED
Object New York State Route 436
New York State Route 436 is a state highway in western New York that connects rural communities in Livingston County, including the village of Nunda, to larger regional routes.
E2295745 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 436 | Statement: [Nunda, New York, transportation, New York State Route 436]
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 436
Triple: [Nunda, New York, transportation, New York State Route 436]
Generated description
New York State Route 436 is a state highway in western New York that connects rural communities in Livingston County, including the village of Nunda, to larger 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_69f76e338e2c8190b7f3bc68bec76349 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b29329d4819095a75a385a02a57a completed May 3, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a81ea30da308190b929dc72dc808a0c completed Aug. 16, 2026, 4:49 p.m.
NEDg Description generation batch_6a81ec099e2481908623ba38cd454bdf completed Aug. 16, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_6a81ec6d6ccc819085debcbb5d9d3713 completed Aug. 16, 2026, 4:59 p.m.
Created at: May 3, 2026, 4:08 p.m.