Triple

T12315040
Position Surface form Disambiguated ID Type / Status
Subject Matamata E293577 entity
Predicate transportConnection P1298 FINISHED
Object State Highway 27
State Highway 27 is a New Zealand state highway in the Waikato region that serves as a key inland route connecting Matamata with other major towns and highways.
 E1630096 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 27 | Statement: [Matamata, transportConnection, State Highway 27]
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 27
Triple: [Matamata, transportConnection, State Highway 27]
Generated description
State Highway 27 is a New Zealand state highway in the Waikato region that serves as a key inland route connecting Matamata with other major towns and highways.

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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f05186481909c024a933b4f6c60 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd61e8c708190ac2e6d97420563f8 completed May 22, 2026, 4:05 a.m.
NEDg Description generation batch_6a0fd6e0bfac8190b9548a510d471343 completed May 22, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd742fb1c81909d6d3a0d2cc03846 completed May 22, 2026, 4:10 a.m.
Created at: April 8, 2026, 9:53 p.m.