Triple

T32361937
Position Surface form Disambiguated ID Type / Status
Subject Mission Valley Center E826886 entity
Predicate servesArea P82 FINISHED
Object Mission Valley neighborhood
Mission Valley neighborhood is a centrally located district in San Diego, California, known for its major shopping centers, residential complexes, and role as a key commercial and transit corridor along the San Diego River.
 E2007061 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: Mission Valley neighborhood | Statement: [Mission Valley Center, servesArea, Mission Valley neighborhood]
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: Mission Valley neighborhood
Triple: [Mission Valley Center, servesArea, Mission Valley neighborhood]
Generated description
Mission Valley neighborhood is a centrally located district in San Diego, California, known for its major shopping centers, residential complexes, and role as a key commercial and transit corridor along the San Diego River.

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_69f34915a2588190bb3178f5ec2f48f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6be9866448190b9225dd383e52ec8 completed May 3, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34666756e88190b64e357ef9dbc6bf completed June 18, 2026, 9:43 p.m.
NEDg Description generation batch_6a3466cb9b9081909d51a6e018e81154 completed June 18, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_6a34672f31b88190a7de570fe555c105 completed June 18, 2026, 9:46 p.m.
Created at: May 1, 2026, 12:49 a.m.