Triple

T33117012
Position Surface form Disambiguated ID Type / Status
Subject Transportation in Meade County, Kentucky E847483 entity
Predicate relatedTo P37 FINISHED
Object Transportation in Kentucky
Transportation in Kentucky encompasses the statewide network of highways, railroads, airports, public transit systems, and waterways that connect its cities, rural areas, and neighboring states.
E2037131 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: Transportation in Kentucky | Statement: [Transportation in Meade County, Kentucky, relatedTo, Transportation in Kentucky]
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: Transportation in Kentucky
Triple: [Transportation in Meade County, Kentucky, relatedTo, Transportation in Kentucky]
Generated description
Transportation in Kentucky encompasses the statewide network of highways, railroads, airports, public transit systems, and waterways that connect its cities, rural areas, and neighboring states.

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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d716064c8190bf355a040ac09ab6 completed May 3, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f03a6a448190830cd5a465c14812 completed June 19, 2026, 7:31 a.m.
NEDg Description generation batch_6a350b1c38a88190a4f51a96b37cc054 completed June 19, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_6a3510cb22ac8190a50e6709c5281bf6 completed June 19, 2026, 9:50 a.m.
Created at: May 1, 2026, 1:27 a.m.