Triple

T18540606
Position Surface form Disambiguated ID Type / Status
Subject Kaikohe E453087 entity
Predicate hasStateHighway P385 FINISHED
Object State Highway 15
State Highway 15 is a New Zealand state highway in the Northland region that serves as a key route connecting inland towns and freight corridors.
 E2288421 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: State Highway 15 | Statement: [Kaikohe, hasStateHighway, State Highway 15]
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: State Highway 15
Triple: [Kaikohe, hasStateHighway, State Highway 15]
Generated description
State Highway 15 is a New Zealand state highway in the Northland region that serves as a key route connecting inland towns and freight corridors.

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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b64178819082861a03fd067095 completed April 19, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5a8de38ae0819087145d517d3484ef completed July 17, 2026, 8:17 p.m.
NEDg Description generation batch_6a5a8e7a0cb48190922876cb254c8058 completed July 17, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a5a8f3f02508190abd60c479bb3f2a3 completed July 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 11:37 a.m.