Triple

T18473935
Position Surface form Disambiguated ID Type / Status
Subject Irving Street E451376 entity
Predicate isParallelTo P1868 FINISHED
Object Kirkham Street
Kirkham Street is a residential and commercial street in San Francisco’s Sunset District, running east–west just south of Golden Gate Park.
 E1763133 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: Kirkham Street | Statement: [Irving Street, isParallelTo, Kirkham 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: Kirkham Street
Triple: [Irving Street, isParallelTo, Kirkham Street]
Generated description
Kirkham Street is a residential and commercial street in San Francisco’s Sunset District, running east–west just south of Golden Gate Park.

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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062387481909d4503fc963f9913 completed April 19, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a126239807881908843eaced3181240 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a12667d95ec8190900555e50d903e5d completed May 24, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1266dd3b748190a06a76a7587eff99 completed May 24, 2026, 2:47 a.m.
Created at: April 10, 2026, 11:34 a.m.