Triple

T25167218
Position Surface form Disambiguated ID Type / Status
Subject Scioto County, Ohio E630210 entity
Predicate hasAirport P105 FINISHED
Object Greater Portsmouth Regional Airport
Greater Portsmouth Regional Airport is a public airport serving the Portsmouth area and surrounding communities in Scioto County, Ohio.
E1668287 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: Greater Portsmouth Regional Airport | Statement: [Scioto County, Ohio, hasAirport, Greater Portsmouth Regional Airport]
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: Greater Portsmouth Regional Airport
Triple: [Scioto County, Ohio, hasAirport, Greater Portsmouth Regional Airport]
Generated description
Greater Portsmouth Regional Airport is a public airport serving the Portsmouth area and surrounding communities in Scioto County, Ohio.

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_69e75a87c9b88190ab60731902a99750 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46d42ec0081908231beebf495cf3e completed May 1, 2026, 9:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d14030c819094cece142b2f43a0 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105df5bf44819082f76c7e8c6728b2 completed May 22, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a105f44a8408190b02fe5f557ea43c1 completed May 22, 2026, 1:51 p.m.
Created at: April 21, 2026, 12:17 p.m.