Triple

T24365913
Position Surface form Disambiguated ID Type / Status
Subject San Joaquin Valley oil fields E614192 entity
Predicate contains P35 FINISHED
Object Devils Den Oil Field
Devils Den Oil Field is a petroleum-producing field located within California’s San Joaquin Valley, known as part of one of the state’s major oil-producing regions.
E1630873 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: Devils Den Oil Field | Statement: [San Joaquin Valley oil fields, contains, Devils Den Oil Field]
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: Devils Den Oil Field
Triple: [San Joaquin Valley oil fields, contains, Devils Den Oil Field]
Generated description
Devils Den Oil Field is a petroleum-producing field located within California’s San Joaquin Valley, known as part of one of the state’s major oil-producing regions.

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_69e2d7dfe7f08190b7a1f3a36483ab05 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2938809f081908abf33edb62ed7f8 completed April 29, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd67166688190b705e329336d0afd completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd79af7dc81909b36001ba18566fa completed May 22, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd86469288190aa03fe497754bad3 completed May 22, 2026, 4:15 a.m.
Created at: April 18, 2026, 2:01 a.m.