Triple

T2913686
Position Surface form Disambiguated ID Type / Status
Subject Office of Emergency Response and Recovery E63744 entity
Predicate abbreviation P43 FINISHED
Object OERR
OERR is a governmental unit focused on coordinating preparedness, response, and recovery efforts for emergencies and disasters.
 E310855 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: OERR | Statement: [Office of Emergency Response and Recovery, abbreviation, OERR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OERR
Context triple: [Office of Emergency Response and Recovery, abbreviation, OERR]
  • A. ORR
    ORR is the independent regulator and competition authority for Britain’s railways and the monitor of National Highways in England.
  • B. OERK
    OERK is the ICAO airport code for King Khalid International Airport, the main international gateway serving Riyadh, Saudi Arabia.
  • C. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • D. EOU
    EOU is a public university located in La Grande, Oregon, known for serving rural and Eastern Oregon communities with a range of undergraduate and graduate programs.
  • E. OAR
    OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
  • 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: OERR
Triple: [Office of Emergency Response and Recovery, abbreviation, OERR]
Generated description
OERR is a governmental unit focused on coordinating preparedness, response, and recovery efforts for emergencies and disasters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OERR
Target entity description: OERR is a governmental unit focused on coordinating preparedness, response, and recovery efforts for emergencies and disasters.
  • A. ORR
    ORR is the independent regulator and competition authority for Britain’s railways and the monitor of National Highways in England.
  • B. OERK
    OERK is the ICAO airport code for King Khalid International Airport, the main international gateway serving Riyadh, Saudi Arabia.
  • C. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • D. EOU
    EOU is a public university located in La Grande, Oregon, known for serving rural and Eastern Oregon communities with a range of undergraduate and graduate programs.
  • E. OAR
    OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0ecaba48190a8e22c74a111fded completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b056249b5c8190b388088bf047616f completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06434bef48190848d8ab1aa59937c completed March 10, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69b064a3b41481909214a09eae0b092b completed March 10, 2026, 6:36 p.m.
Created at: March 6, 2026, 10:11 p.m.