Triple

T31197383
Position Surface form Disambiguated ID Type / Status
Subject World Oil Demand E795357 entity
Predicate reportedIn P5301 FINISHED
Object EIA Short-Term Energy Outlook
The EIA Short-Term Energy Outlook is a regular publication by the U.S. Energy Information Administration that provides forecasts and analysis of near-term energy market trends, including global oil demand.
 E1951464 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: EIA Short-Term Energy Outlook | Statement: [World Oil Demand, reportedIn, EIA Short-Term Energy Outlook]
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: EIA Short-Term Energy Outlook
Triple: [World Oil Demand, reportedIn, EIA Short-Term Energy Outlook]
Generated description
The EIA Short-Term Energy Outlook is a regular publication by the U.S. Energy Information Administration that provides forecasts and analysis of near-term energy market trends, including global oil demand.

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_69f224d7a6a481908187c4362a8a525f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69bbff58c8190b2537c1e5049af5e completed May 3, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29591c91e4819087aa0ff63400e937 completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a295d2ada288190aaf4ba844b770666 completed June 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a295e13ebbc8190bba5d5efe052b6ea completed June 10, 2026, 12:52 p.m.
Created at: April 29, 2026, 9:09 p.m.