Triple

T3492525
Position Surface form Disambiguated ID Type / Status
Subject GRC E73768 entity
Predicate hasFacility P105 FINISHED
Object Lewis Field
Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
E363760 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: Lewis Field | Statement: [GRC, hasFacility, Lewis Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lewis Field
Context triple: [GRC, hasFacility, Lewis Field]
  • A. Mills Field
    Mills Field was the original name of the airport that later became San Francisco International Airport, serving as the main airfield for the San Francisco Bay Area in its early years.
  • B. Reeves Field
    Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
  • C. Eaker Field
    Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
  • D. Holloway Field
    Holloway Field is a collegiate athletic facility associated with Rice University, primarily used for hosting the university’s outdoor sports events and competitions.
  • E. Merton Field
    Merton Field is a historic open green space associated with Merton College in Oxford, often used for recreation and college events.
  • 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: Lewis Field
Triple: [GRC, hasFacility, Lewis Field]
Generated description
Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lewis Field
Target entity description: Lewis Field is a NASA research facility associated with the Glenn Research Center, supporting aerospace technology development and testing.
  • A. Mills Field
    Mills Field was the original name of the airport that later became San Francisco International Airport, serving as the main airfield for the San Francisco Bay Area in its early years.
  • B. Reeves Field
    Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
  • C. Eaker Field
    Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
  • D. Holloway Field
    Holloway Field is a collegiate athletic facility associated with Rice University, primarily used for hosting the university’s outdoor sports events and competitions.
  • E. Merton Field
    Merton Field is a historic open green space associated with Merton College in Oxford, often used for recreation and college events.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbabd1708190b1ca4cbc87462b5b completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373c23b188190a927d793b03192dc completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b377a690348190a765b021bbbc820c completed March 13, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69b3781aaab48190a497a0929966ec12 completed March 13, 2026, 2:36 a.m.
Created at: March 8, 2026, 3:18 p.m.