Triple

T5133805
Position Surface form Disambiguated ID Type / Status
Subject Old State, War, and Navy Building E115766 entity
Predicate alsoKnownAs P39 FINISHED
Object EEOB
The EEOB, or Eisenhower Executive Office Building, is a historic U.S. government office building next to the White House that houses much of the Executive Office of the President.
 E496818 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: EEOB | Statement: [Old State, War, and Navy Building, alsoKnownAs, EEOB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EEOB
Context triple: [Old State, War, and Navy Building, alsoKnownAs, EEOB]
  • A. EBOH
    EBOH is an academic department focused on research and training in epidemiology, biostatistics, and occupational health.
  • B. EBBR
    EBBR is the ICAO airport code for Brussels Airport, the main international airport serving Brussels, Belgium.
  • C. EGBB
    EGBB is the ICAO airport code for Birmingham Airport, a major international airport serving Birmingham and the West Midlands region of England.
  • D. EBBE
    EBBE is the ICAO airport code for Beauvechain Air Base, a military airfield in Belgium.
  • E. EBB
    EBB is the common abbreviation for Eisbären Berlin, a professional ice hockey team based in Berlin, Germany.
  • 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: EEOB
Triple: [Old State, War, and Navy Building, alsoKnownAs, EEOB]
Generated description
The EEOB, or Eisenhower Executive Office Building, is a historic U.S. government office building next to the White House that houses much of the Executive Office of the President.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EEOB
Target entity description: The EEOB, or Eisenhower Executive Office Building, is a historic U.S. government office building next to the White House that houses much of the Executive Office of the President.
  • A. EBOH
    EBOH is an academic department focused on research and training in epidemiology, biostatistics, and occupational health.
  • B. EBBR
    EBBR is the ICAO airport code for Brussels Airport, the main international airport serving Brussels, Belgium.
  • C. EGBB
    EGBB is the ICAO airport code for Birmingham Airport, a major international airport serving Birmingham and the West Midlands region of England.
  • D. EBBE
    EBBE is the ICAO airport code for Beauvechain Air Base, a military airfield in Belgium.
  • E. EBB
    EBB is the common abbreviation for Eisbären Berlin, a professional ice hockey team based in Berlin, Germany.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd784ca5ac81909f1ec7544f5bbd26 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4cd5e188190b1404cefc887e0b3 completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec571d5948190b659a7b5038f8bdd completed March 21, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69bec973e71c8190a9c043389d627156 completed March 21, 2026, 4:38 p.m.
Created at: March 20, 2026, 1:43 p.m.