Triple

T19560797
Position Surface form Disambiguated ID Type / Status
Subject Penitencia Creek E489442 entity
Predicate crosses P416 FINISHED
Object Penitencia Creek Road
Penitencia Creek Road is a roadway in Santa Clara County, California, that runs through the eastern foothills of San Jose near Penitencia Creek and Alum Rock Park.
E2042623 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: Penitencia Creek Road | Statement: [Penitencia Creek, crosses, Penitencia Creek Road]
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: Penitencia Creek Road
Triple: [Penitencia Creek, crosses, Penitencia Creek Road]
Generated description
Penitencia Creek Road is a roadway in Santa Clara County, California, that runs through the eastern foothills of San Jose near Penitencia Creek and Alum Rock Park.

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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f7442e08190ad030151ec0a97d4 completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a352f92c63c819098035a4d045b0a0a completed June 19, 2026, 12:01 p.m.
NEDg Description generation batch_6a3533aaf1d881909e9f0981fae87c6d completed June 19, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a35341981848190941fffd6dd22b4c1 completed June 19, 2026, 12:20 p.m.
Created at: April 10, 2026, 1:42 p.m.