Triple

T22008380
Position Surface form Disambiguated ID Type / Status
Subject IEA Oil Market Report E543509 entity
Predicate abbreviation P43 FINISHED
Object OMR
OMR is the International Energy Agency’s flagship Oil Market Report, providing authoritative analysis and forecasts of global oil supply, demand, inventories, and prices.
 E1514379 NE FINISHED

How this triple was built (4 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: OMR | Statement: [IEA Oil Market Report, abbreviation, OMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OMR
Context triple: [IEA Oil Market Report, abbreviation, OMR]
  • A. OMR
    OMR is the official currency code used to represent the Omani rial, the national currency of Oman.
  • B. OMR
    OMR refers to the European Union’s outermost regions, which are geographically distant territories fully integrated into the EU and subject to its laws and policies.
  • C. Scantron
    Scantron is an American company best known for its machine-readable testing and assessment forms and related educational technology services.
  • D. OMTR
    OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
  • E. OMM
    OMM is the post-nominal letters used to denote membership in the Canadian Order of Military Merit, an honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: OMR
Triple: [IEA Oil Market Report, abbreviation, OMR]
Generated description
OMR is the International Energy Agency’s flagship Oil Market Report, providing authoritative analysis and forecasts of global oil supply, demand, inventories, and prices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OMR
Target entity description: OMR is the International Energy Agency’s flagship Oil Market Report, providing authoritative analysis and forecasts of global oil supply, demand, inventories, and prices.
  • A. OMR
    OMR is the official currency code used to represent the Omani rial, the national currency of Oman.
  • B. OMR
    OMR refers to the European Union’s outermost regions, which are geographically distant territories fully integrated into the EU and subject to its laws and policies.
  • C. Scantron
    Scantron is an American company best known for its machine-readable testing and assessment forms and related educational technology services.
  • D. OMTR
    OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
  • E. OMM
    OMM is the post-nominal letters used to denote membership in the Canadian Order of Military Merit, an honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
  • F. None of above. chosen

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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a2aebc8190951ee0bf9fd8e16d completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7376d19481909aa40216cf57c568 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a74e81da881908c73d864258dcdd5 completed May 18, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75cbb2408190b058713432b048a2 completed May 18, 2026, 2:13 a.m.
Created at: April 16, 2026, 8:21 p.m.