Triple

T24387830
Position Surface form Disambiguated ID Type / Status
Subject Tipton County, Indiana E614796 entity
Predicate hasTransportationRoute P385 FINISHED
Object Indiana State Road 213
Indiana State Road 213 is a north–south state highway in central Indiana that connects rural communities and local routes in and around Tipton County.
E1659703 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: Indiana State Road 213 | Statement: [Tipton County, Indiana, hasTransportationRoute, Indiana State Road 213]
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: Indiana State Road 213
Triple: [Tipton County, Indiana, hasTransportationRoute, Indiana State Road 213]
Generated description
Indiana State Road 213 is a north–south state highway in central Indiana that connects rural communities and local routes in and around Tipton County.

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_69e2d7e362e481909e32fe4ef8269d4f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29455e7fc8190841f909b970f6bd3 completed April 29, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1032e0edd081908c131d8c42d23f8e completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1034e935a08190ad56690d23338eca completed May 22, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a10357df90081909f85803c49475ed8 completed May 22, 2026, 10:52 a.m.
Created at: April 18, 2026, 2:03 a.m.