Triple

T21586984
Position Surface form Disambiguated ID Type / Status
Subject Brunner Mine site E532675 entity
Predicate hasAccess P273 FINISHED
Object State Highway 7
State Highway 7 is a New Zealand state highway that runs across the South Island’s West Coast and inland regions, linking several towns and historic sites.
 E2293429 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 7 | Statement: [Brunner Mine site, hasAccess, State Highway 7]
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 7
Triple: [Brunner Mine site, hasAccess, State Highway 7]
Generated description
State Highway 7 is a New Zealand state highway that runs across the South Island’s West Coast and inland regions, linking several towns and historic sites.

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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb6137fc8190840b7c1275e62a1d completed April 27, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7aa8cbab088190b62d060779606fcf completed Aug. 11, 2026, 4:44 a.m.
NEDg Description generation batch_6a7aa97357408190a09d63683851f5da completed Aug. 11, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_6a7aa9fbae7881908349dd1f226e05d7 completed Aug. 11, 2026, 4:50 a.m.
Created at: April 16, 2026, 6:31 p.m.