Triple

T21111553
Position Surface form Disambiguated ID Type / Status
Subject SMAST E520182 entity
Predicate acronym P43 FINISHED
Object SMAST NE NERFINISHED

How this triple was built (2 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: SMAST | Statement: [SMAST, acronym, SMAST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMAST
Context triple: [SMAST, acronym, SMAST]
  • A. SMAST chosen
    SMAST is the School for Marine Science & Technology at the University of Massachusetts Dartmouth, specializing in oceanographic and marine science research and graduate education.
  • B. MAST
    MAST is a NASA-operated astronomical data archive that stores and provides access to observations from space-based telescopes such as Hubble, Kepler, and TESS.
  • C. ASMA
    ASMA is the acronym for Antarctic Specially Managed Areas, designated regions in Antarctica managed under international agreements to protect environmental, scientific, and other significant values.
  • D. SMA
    SMA is the IATA airport code for the main airport serving Santa Maria Island in the Azores, Portugal.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72102d99c8190a1ea5a6981da6da0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.