Triple

T34872502
Position Surface form Disambiguated ID Type / Status
Subject Honolulu Botanical Gardens E1005789 entity
Predicate hasPart P35 FINISHED
Object Lili‘uokalani Botanical Garden
Liliʻuokalani Botanical Garden is a public garden in Honolulu, Hawaiʻi, known for its native Hawaiian plants and tranquil setting along Nuuanu Stream.
E1005789 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: Lili‘uokalani Botanical Garden | Statement: [Honolulu Botanical Gardens, hasPart, Lili‘uokalani Botanical Garden]
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: Lili‘uokalani Botanical Garden
Triple: [Honolulu Botanical Gardens, hasPart, Lili‘uokalani Botanical Garden]
Generated description
Liliʻuokalani Botanical Garden is a public garden in Honolulu, Hawaiʻi, known for its native Hawaiian plants and tranquil setting along Nuuanu Stream.

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_69f76dbde1c08190a24e7f9beb564c8d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78184f2408190b27eb2298c74413d completed May 3, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786d2e15881909570643adb7cfb6d completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a3789e8f3dc8190ab7e0b22d76e6f63 completed June 21, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_6a378ac6a43c819094e2c544a6db2851 completed June 21, 2026, 6:55 a.m.
Created at: May 3, 2026, 4 p.m.