Triple

T29982217
Position Surface form Disambiguated ID Type / Status
Subject Bodega Dunes Campground E761625 entity
Predicate near P350 FINISHED
Object Highway 1
Highway 1 is a famous scenic coastal highway in California known for its dramatic ocean views and access to numerous beaches, parks, and small coastal towns.
 E666206 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: Highway 1 | Statement: [Bodega Dunes Campground, near, Highway 1]
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: Highway 1
Triple: [Bodega Dunes Campground, near, Highway 1]
Generated description
Highway 1 is a famous scenic coastal highway in California known for its dramatic ocean views and access to numerous beaches, parks, and small coastal towns.

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_69f2246851148190b8e76206db94b105 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f678da44d48190a14d66b106b7bf88 completed May 2, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721fdaa2881908d465ebb5e7136e5 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a272483ef2481908fa5f2e09c273ef7 completed June 8, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a272512c6ac81908639e792b8f464ab completed June 8, 2026, 8:24 p.m.
Created at: April 29, 2026, 6:35 p.m.