Triple

T19989563
Position Surface form Disambiguated ID Type / Status
Subject Lower Hutt E494025 entity
Predicate hasTransport P1298 FINISHED
Object State Highway 58
State Highway 58 is a New Zealand state highway in the Wellington region that links the Hutt Valley with Porirua, providing an important cross-regional route north of Wellington Harbour.
 E2291370 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 58 | Statement: [Lower Hutt, hasTransport, State Highway 58]
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 58
Triple: [Lower Hutt, hasTransport, State Highway 58]
Generated description
State Highway 58 is a New Zealand state highway in the Wellington region that links the Hutt Valley with Porirua, providing an important cross-regional route north of Wellington Harbour.

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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdecf108190a5b215fd25bc4dda completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c523fb3e481908aef48b2c7c85127 completed July 19, 2026, 4:27 a.m.
NEDg Description generation batch_6a5c52c1cad08190bc72d748aa6370c6 completed July 19, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a5c52ffe1a0819092e46855eeaa3de8 completed July 19, 2026, 4:30 a.m.
Created at: April 11, 2026, 3:30 p.m.