Triple

T12370165
Position Surface form Disambiguated ID Type / Status
Subject Taumarunui E294978 entity
Predicate hasRoadConnection P385 FINISHED
Object State Highway 41
State Highway 41 is a New Zealand state highway in the central North Island that provides an important east–west route linking Taumarunui with the Lake Taupō region.
 E2152336 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 41 | Statement: [Taumarunui, hasRoadConnection, State Highway 41]
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 41
Triple: [Taumarunui, hasRoadConnection, State Highway 41]
Generated description
State Highway 41 is a New Zealand state highway in the central North Island that provides an important east–west route linking Taumarunui with the Lake Taupō region.

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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387cec24148190ad5f77e0f1221f4f completed June 22, 2026, 12:08 a.m.
NEDg Description generation batch_6a387d8bebac8190945e3bd73b0e9222 completed June 22, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a387dfd11588190b56499799b37f578 completed June 22, 2026, 12:12 a.m.
Created at: April 8, 2026, 9:54 p.m.