Triple

T26039103
Position Surface form Disambiguated ID Type / Status
Subject Winchester Boulevard E647635 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Westfield Valley Fair shopping mall
Westfield Valley Fair shopping mall is a large, upscale shopping center in Silicon Valley featuring a wide range of luxury retailers, dining options, and entertainment venues.
E1710860 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: Westfield Valley Fair shopping mall | Statement: [Winchester Boulevard, hasNearbyAttraction, Westfield Valley Fair shopping mall]
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: Westfield Valley Fair shopping mall
Triple: [Winchester Boulevard, hasNearbyAttraction, Westfield Valley Fair shopping mall]
Generated description
Westfield Valley Fair shopping mall is a large, upscale shopping center in Silicon Valley featuring a wide range of luxury retailers, dining options, and entertainment venues.

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_69e77e8c88f08190858c4c81bd2e1b9a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f60620fb648190826cfb2fdefe4858 completed May 2, 2026, 2:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11273fac2c81908d1efa7a9d3ea2fc completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a1153d6dd608190bd02f3f15210f929 completed May 23, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_6a1155021a8c8190acf7aa793cf0f3c3 completed May 23, 2026, 7:19 a.m.
Created at: April 22, 2026, 9:08 a.m.