Triple

T8902183
Position Surface form Disambiguated ID Type / Status
Subject supplementary motor area E211954 entity
Predicate hasAbbreviation P43 FINISHED
Object SMA
SMA is a region of the frontal lobe involved in planning and coordinating complex voluntary movements, especially those requiring sequences or both sides of the body.
 E764625 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: SMA | Statement: [supplementary motor area, hasAbbreviation, SMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SMA
Context triple: [supplementary motor area, hasAbbreviation, SMA]
  • A. SMA
    SMA is the IATA airport code for the main airport serving Santa Maria Island in the Azores, Portugal.
  • B. SMA
    SMA is a radio interferometer observatory located on Maunakea in Hawaii that operates at submillimeter wavelengths to study astronomical objects such as star-forming regions, galaxies, and black holes.
  • C. SMND
    SMND is the station code for the central Paris RER railway station Saint-Michel–Notre-Dame, a major hub near Notre-Dame Cathedral.
  • D. Sma
    Sma is a classic rabbinic commentator best known for his influential glosses on the Choshen Mishpat section of the Shulchan Aruch, widely studied in Jewish law.
  • E. SMAST
    SMAST is the School for Marine Science & Technology at the University of Massachusetts Dartmouth, specializing in oceanographic and marine science research and graduate education.
  • 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: SMA
Triple: [supplementary motor area, hasAbbreviation, SMA]
Generated description
SMA is a region of the frontal lobe involved in planning and coordinating complex voluntary movements, especially those requiring sequences or both sides of the body.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SMA
Target entity description: SMA is a region of the frontal lobe involved in planning and coordinating complex voluntary movements, especially those requiring sequences or both sides of the body.
  • A. SMA
    SMA is the IATA airport code for the main airport serving Santa Maria Island in the Azores, Portugal.
  • B. SMA
    SMA is a radio interferometer observatory located on Maunakea in Hawaii that operates at submillimeter wavelengths to study astronomical objects such as star-forming regions, galaxies, and black holes.
  • C. SMND
    SMND is the station code for the central Paris RER railway station Saint-Michel–Notre-Dame, a major hub near Notre-Dame Cathedral.
  • D. Sma
    Sma is a classic rabbinic commentator best known for his influential glosses on the Choshen Mishpat section of the Shulchan Aruch, widely studied in Jewish law.
  • E. SMAST
    SMAST is the School for Marine Science & Technology at the University of Massachusetts Dartmouth, specializing in oceanographic and marine science research and graduate education.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc642a104081908df2d64e8f9ad0c8 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac1846f481909aad27a6dacddba2 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfacb58f208190b5e8eeba58f1bd78 completed April 3, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfad73f7a8819089ee3dadf321220e completed April 3, 2026, 12:07 p.m.
Created at: March 30, 2026, 6:55 p.m.