Triple

T33383414
Position Surface form Disambiguated ID Type / Status
Subject North Dakota Highway 18 E854844 entity
Predicate highwayType P1019 FINISHED
Object North Dakota state highway
A North Dakota state highway is a numbered road maintained by the state that forms part of North Dakota’s primary network for regional and local transportation.
E946488 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: North Dakota state highway | Statement: [North Dakota Highway 18, highwayType, North Dakota state highway]
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: North Dakota state highway
Triple: [North Dakota Highway 18, highwayType, North Dakota state highway]
Generated description
A North Dakota state highway is a numbered road maintained by the state that forms part of North Dakota’s primary network for regional and local 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_69f3496d54048190a1cb91fdd7caa6ea completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e3ddaf2c8190967446ac0a3ce082 completed May 3, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3581460e88819090cb25da1878a754 completed June 19, 2026, 5:49 p.m.
NEDg Description generation batch_6a358a25de448190afef793c42bbeda9 completed June 19, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_6a3590d4283c8190b05bd883ff39a36e completed June 19, 2026, 6:56 p.m.
Created at: May 1, 2026, 1:35 a.m.