Triple

T23110588
Position Surface form Disambiguated ID Type / Status
Subject Kurow E576306 entity
Predicate transportRoute P3034 FINISHED
Object State Highway 83
State Highway 83 is a New Zealand state highway in the South Island that runs through the Waitaki Valley, connecting towns such as Kurow along the way.
 E2295233 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 83 | Statement: [Kurow, transportRoute, State Highway 83]
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 83
Triple: [Kurow, transportRoute, State Highway 83]
Generated description
State Highway 83 is a New Zealand state highway in the South Island that runs through the Waitaki Valley, connecting towns such as Kurow along the way.

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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0e58308190a355de3ae81dd510 completed April 29, 2026, 4:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7d2536fb608190b818a64bc5439c20 completed Aug. 13, 2026, 2 a.m.
NEDg Description generation batch_6a7d2609ec08819081c921b02185dc05 completed Aug. 13, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_6a7d26608d68819093fa0372d05264a3 completed Aug. 13, 2026, 2:05 a.m.
Created at: April 17, 2026, 3:58 p.m.