Triple

T24443254
Position Surface form Disambiguated ID Type / Status
Subject South Kohala District E616325 entity
Predicate contains P35 FINISHED
Object Spencer Beach Park
Spencer Beach Park is a popular family-friendly beach and recreation area on the northwest coast of Hawaii Island, known for its calm waters, shaded picnic areas, and nearby cultural and historical sites.
E1635516 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: Spencer Beach Park | Statement: [South Kohala District, contains, Spencer Beach Park]
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: Spencer Beach Park
Triple: [South Kohala District, contains, Spencer Beach Park]
Generated description
Spencer Beach Park is a popular family-friendly beach and recreation area on the northwest coast of Hawaii Island, known for its calm waters, shaded picnic areas, and nearby cultural and historical sites.

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_69e2d7edca608190aafefc8877a1b4da completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29851e6cc8190a8f160cbed4e9ab0 completed April 29, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe37f56408190a3749a60381ef331 completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe4f9f0448190bbd9e0b860335482 completed May 22, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe620e40c81909973369ffb8e9dfc completed May 22, 2026, 5:14 a.m.
Created at: April 18, 2026, 2:17 a.m.