Triple

T36792737
Position Surface form Disambiguated ID Type / Status
Subject Claude Bell’s Dinosaurs E909097 entity
Predicate adjacentTo P224 FINISHED
Object Cabazon Outlets
Cabazon Outlets is a popular open-air shopping center in Cabazon, California, known for its collection of brand-name outlet stores and its location along the busy I-10 corridor between Los Angeles and Palm Springs.
E2201512 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: Cabazon Outlets | Statement: [Claude Bell’s Dinosaurs, adjacentTo, Cabazon Outlets]
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: Cabazon Outlets
Triple: [Claude Bell’s Dinosaurs, adjacentTo, Cabazon Outlets]
Generated description
Cabazon Outlets is a popular open-air shopping center in Cabazon, California, known for its collection of brand-name outlet stores and its location along the busy I-10 corridor between Los Angeles and Palm Springs.

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_69f76e7a937c81909ed7359641e670f6 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca2c90488190afe2f9c6325f8cb9 completed May 3, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde5b60948190a936c878173feb90 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3de2da4de481909441554fa6b557b9 completed June 26, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a3df18e24ec81908c22f7eb27b20cd0 completed June 26, 2026, 3:27 a.m.
Created at: May 3, 2026, 4:12 p.m.