Triple

T5518945
Position Surface form Disambiguated ID Type / Status
Subject Maryland Route 32 E144756 entity
Predicate abbreviation P43 FINISHED
Object MD 32
MD 32 is a state highway in Maryland that serves as a major east–west and north–south connector through the central part of the state, linking suburbs, military installations, and key regional routes.
E531628 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: MD 32 | Statement: [Maryland Route 32, abbreviation, MD 32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MD 32
Context triple: [Maryland Route 32, abbreviation, MD 32]
  • A. MD 202
    MD 202 is a state highway in Maryland that connects communities in Prince George’s County, including the area near FedExField and the Capital Beltway.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MD
    MD is the station code used to identify Maitland railway station in New South Wales, Australia.
  • D. MD
    MD is a postgraduate medical degree focused on advanced clinical training and specialization for physicians.
  • E. MD 500
    The MD 500 is a family of light, single-engine civilian and military helicopters known for their agility, compact size, and use in roles ranging from transport to law enforcement and special operations.
  • 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: MD 32
Triple: [Maryland Route 32, abbreviation, MD 32]
Generated description
MD 32 is a state highway in Maryland that serves as a major east–west and north–south connector through the central part of the state, linking suburbs, military installations, and key regional routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MD 32
Target entity description: MD 32 is a state highway in Maryland that serves as a major east–west and north–south connector through the central part of the state, linking suburbs, military installations, and key regional routes.
  • A. MD 202
    MD 202 is a state highway in Maryland that connects communities in Prince George’s County, including the area near FedExField and the Capital Beltway.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MD
    MD is the station code used to identify Maitland railway station in New South Wales, Australia.
  • D. MD
    MD is a postgraduate medical degree focused on advanced clinical training and specialization for physicians.
  • E. MD 500
    The MD 500 is a family of light, single-engine civilian and military helicopters known for their agility, compact size, and use in roles ranging from transport to law enforcement and special operations.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03c495bf88190884ab03b9e5540f0 completed March 22, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69c03cd550748190ab9718c510d2f0ca completed March 22, 2026, 7:02 p.m.
Created at: March 22, 2026, 3:33 p.m.