Triple

T33314927
Position Surface form Disambiguated ID Type / Status
Subject Town of Ashland, Virginia E852988 entity
Predicate traversedBy P225 FINISHED
Object CSX Transportation rail line
The CSX Transportation rail line is a major freight railroad route in the eastern United States operated by CSX Transportation.
E712947 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: CSX Transportation rail line | Statement: [Town of Ashland, Virginia, traversedBy, CSX Transportation rail line]
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: CSX Transportation rail line
Triple: [Town of Ashland, Virginia, traversedBy, CSX Transportation rail line]
Generated description
The CSX Transportation rail line is a major freight railroad route in the eastern United States operated by CSX Transportation.

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_69f349679fd8819093b9b40e989440e3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6def7bd2081909b1e8482285771cc completed May 3, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35432eaa108190a4c1b64b318481d9 completed June 19, 2026, 1:25 p.m.
NEDg Description generation batch_6a3543e43dc8819091abfb05f7e4d523 completed June 19, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a354505ffd481908b3bc40d99401aa0 completed June 19, 2026, 1:32 p.m.
Created at: May 1, 2026, 1:33 a.m.