Triple

T27572802
Position Surface form Disambiguated ID Type / Status
Subject Apple Store Palo Alto, California E696077 entity
Predicate street P959 FINISHED
Object University Avenue
University Avenue is a prominent commercial and dining street in downtown Palo Alto, California, known for its upscale shops, tech-company presence, and vibrant pedestrian activity.
E689149 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: University Avenue | Statement: [Apple Store Palo Alto, California, street, University Avenue]
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: University Avenue
Triple: [Apple Store Palo Alto, California, street, University Avenue]
Generated description
University Avenue is a prominent commercial and dining street in downtown Palo Alto, California, known for its upscale shops, tech-company presence, and vibrant pedestrian activity.

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_69ef53891af88190a193c5e2a1dac9b1 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62fed98888190bdc01137b65acbb6 completed May 2, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a425180e16881909bbaa43e74ada392 completed June 29, 2026, 11:05 a.m.
NEDg Description generation batch_6a42523ffeb081909c45c9be40f067ef completed June 29, 2026, 11:08 a.m.
NED2 Entity disambiguation (via description) batch_6a42533fa99c8190a3539c544f409b8f completed June 29, 2026, 11:13 a.m.
Created at: April 27, 2026, 1:44 p.m.