Triple

T35911127
Position Surface form Disambiguated ID Type / Status
Subject Grand View Park E1038612 entity
Predicate hasAccessPointOn P93497 FINISHED
Object Moraga Street
Moraga Street is a residential street in San Francisco’s Sunset District known for providing access to Grand View Park and the nearby tiled stairway.
 E2161295 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: Moraga Street | Statement: [Grand View Park, hasAccessPointOn, Moraga Street]
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: Moraga Street
Triple: [Grand View Park, hasAccessPointOn, Moraga Street]
Generated description
Moraga Street is a residential street in San Francisco’s Sunset District known for providing access to Grand View Park and the nearby tiled stairway.

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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcdbe798448190b0a4641c8c56ba74 completed May 7, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ae2defc88190b9fcf64b19a17408 completed June 22, 2026, 3:38 a.m.
NEDg Description generation batch_6a38aec1b6508190a3bc1151af839daa completed June 22, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_6a38af52e8288190abf63800ab6ce010 completed June 22, 2026, 3:43 a.m.
Created at: May 3, 2026, 4:07 p.m.