Triple

T4330751
Position Surface form Disambiguated ID Type / Status
Subject Rosa Parks Day E96741 entity
Predicate firstObservedIn P34154 FINISHED
Object Ohio E30904 NE FINISHED

How this triple was built (3 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: Ohio | Statement: [Rosa Parks Day, firstObservedIn, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ohio
Context triple: [Rosa Parks Day, firstObservedIn, Ohio]
  • A. Ohio chosen
    Ohio is a Midwestern U.S. state known for its diverse economy, major cities like Columbus, Cleveland, and Cincinnati, and its significant role in national politics as a historic swing state.
  • B. Indiana
    Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
  • C. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its extensive freshwater coastline, automotive industry centered in Detroit, and diverse natural landscapes.
  • D. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its extensive freshwater coastline, automotive industry heritage, and diverse forests and waterways.
  • E. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its automotive industry, extensive freshwater coastline, and divided Upper and Lower Peninsulas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstObservedIn
Context triple: [Rosa Parks Day, firstObservedIn, Ohio]
  • A. wasFirstObservedIn chosen
    Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
  • B. firstAppearedAt
    Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
  • C. firstAppeared
    Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
  • D. firstUsedOn
    Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
  • E. firstReportedYear
    Indicates the year in which something was initially reported, documented, or made known for the first time.
  • F. None of above.

Provenance (4 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514c39748190900e13e70ed8848c completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9193c08190a6a63b82f604ecde completed March 14, 2026, 10:05 p.m.
PD Predicate disambiguation batch_69b34f4e13fc8190a42c519f37959d27 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:13 p.m.