Triple

T21548171
Position Surface form Disambiguated ID Type / Status
Subject Mission Creek (Riverside County, California) E531684 entity
Predicate hasName P744 FINISHED
Object Mission Creek
Mission Creek is a stream in Riverside County, California, that flows from the San Bernardino Mountains toward the Coachella Valley desert region.
E2186604 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 Creek | Statement: [Mission Creek (Riverside County, California), hasName, Mission Creek]
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 Creek
Triple: [Mission Creek (Riverside County, California), hasName, Mission Creek]
Generated description
Mission Creek is a stream in Riverside County, California, that flows from the San Bernardino Mountains toward the Coachella Valley desert region.

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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb590bb0881908cd849096696db10 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbaee1208190bd87256d4ad40fdb completed June 23, 2026, 1:04 a.m.
NEDg Description generation batch_6a39dcceb1a081908de121c93a719bad completed June 23, 2026, 1:09 a.m.
NED2 Entity disambiguation (via description) batch_6a39dd3627f48190a70cd2c7a8497aa9 completed June 23, 2026, 1:11 a.m.
Created at: April 16, 2026, 6:28 p.m.