Triple

T21545945
Position Surface form Disambiguated ID Type / Status
Subject Town of Enfield E531621 entity
Predicate hasTransportation P105 FINISHED
Object New York State Route 327
New York State Route 327 is a state highway in New York that serves as a local connector route in Tompkins County, linking rural communities and providing access to nearby urban centers.
E2287528 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 327 | Statement: [Town of Enfield, hasTransportation, New York State Route 327]
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 327
Triple: [Town of Enfield, hasTransportation, New York State Route 327]
Generated description
New York State Route 327 is a state highway in New York that serves as a local connector route in Tompkins County, linking rural communities and providing access to nearby urban centers.

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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58ef2548190a81ff51baba76e48 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a59f93db054819080c78375b162f1b9 completed July 17, 2026, 9:43 a.m.
NEDg Description generation batch_6a59f9e47ce0819090186f42715e98c0 completed July 17, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_6a59fa3a43b88190bc9beb7f8ee509e3 completed July 17, 2026, 9:47 a.m.
Created at: April 16, 2026, 6:28 p.m.