Triple

T21298482
Position Surface form Disambiguated ID Type / Status
Subject Wairoa District E524990 entity
Predicate hasTransportRoute P11026 FINISHED
Object State Highway 38
State Highway 38 is a remote New Zealand roadway that traverses rugged terrain and connects inland communities between the central North Island and the east coast.
 E2293020 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 38 | Statement: [Wairoa District, hasTransportRoute, State Highway 38]
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 38
Triple: [Wairoa District, hasTransportRoute, State Highway 38]
Generated description
State Highway 38 is a remote New Zealand roadway that traverses rugged terrain and connects inland communities between the central North Island and the east coast.

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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385a24d08190bfd410c7f10fa6f7 completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7a58786f248190a87478cf2c5e0be4 completed Aug. 10, 2026, 11:02 p.m.
NEDg Description generation batch_6a7a593131a8819083c9f9a478f7b943 completed Aug. 10, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_6a7a5986a5008190ba67f18f8ff41ea0 completed Aug. 10, 2026, 11:06 p.m.
Created at: April 16, 2026, 4:04 p.m.