Triple

T31954197
Position Surface form Disambiguated ID Type / Status
Subject San Ysidro neighborhood E815859 entity
Predicate locatedNear P294 FINISHED
Object Otay Mesa neighborhood
Otay Mesa is a largely industrial and commercial neighborhood in the southern part of San Diego, California, adjacent to the U.S.–Mexico border and known for its border crossing facilities and warehouses.
E955122 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: Otay Mesa neighborhood | Statement: [San Ysidro neighborhood, locatedNear, Otay Mesa 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: Otay Mesa neighborhood
Triple: [San Ysidro neighborhood, locatedNear, Otay Mesa neighborhood]
Generated description
Otay Mesa is a largely industrial and commercial neighborhood in the southern part of San Diego, California, adjacent to the U.S.–Mexico border and known for its border crossing facilities and warehouses.

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_69f348f4ec708190abbb2a7c3ed58844 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2ad90b88190934e67fff4bffe58 completed May 3, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a4dbae0819085aaca09c5386f58 completed June 14, 2026, 11:02 a.m.
NEDg Description generation batch_6a2e8e4d871481908e59f173aa6c0c57 completed June 14, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2e960c9c808190b92038d529f8b753 completed June 14, 2026, 11:52 a.m.
Created at: May 1, 2026, 12:08 a.m.