Triple

T21393947
Position Surface form Disambiguated ID Type / Status
Subject Fort Plain, New York E527730 entity
Predicate hasTransportation P105 FINISHED
Object New York State Route 80
New York State Route 80 is an east–west state highway in central New York that passes through several rural communities and small towns, including Fort Plain.
 E2287429 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 80 | Statement: [Fort Plain, New York, hasTransportation, New York State Route 80]
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 80
Triple: [Fort Plain, New York, hasTransportation, New York State Route 80]
Generated description
New York State Route 80 is an east–west state highway in central New York that passes through several rural communities and small towns, including Fort Plain.

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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a478f0295bc8190b3dcf01c10cf5f93 completed July 3, 2026, 10:29 a.m.
NEDg Description generation batch_6a479055e2d88190a60a10f0a7801ec2 completed July 3, 2026, 10:35 a.m.
NED2 Entity disambiguation (via description) batch_6a59ee2822448190862b2d0204b724ba completed July 17, 2026, 8:56 a.m.
Created at: April 16, 2026, 5:13 p.m.