Triple

T12955610
Position Surface form Disambiguated ID Type / Status
Subject SMARTS Consortium E310002 entity
Predicate acronym P43 FINISHED
Object SMARTS E310002 NE FINISHED

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: SMARTS | Statement: [SMARTS Consortium, acronym, SMARTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMARTS
Context triple: [SMARTS Consortium, acronym, SMARTS]
  • A. SMARTS Consortium chosen
    The SMARTS Consortium is a collaborative group of institutions that operates and shares access to small and medium-sized telescopes at Cerro Tololo Inter-American Observatory for a wide range of astronomical research.
  • B. SMART
    SMART is a commuter rail service operating in California’s Sonoma and Marin counties, providing passenger transportation along the North Bay corridor.
  • C. SMI
    SMI is the IATA airport code for Samos International Airport, the main air gateway to the Greek island of Samos.
  • D. SMI
    SMI is the Swiss Market Index, a leading stock market index that tracks the performance of major blue-chip companies listed on the SIX Swiss Exchange.
  • E. SMI
    SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2b0108819098a681f93e90dbda completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af7ba4d88190952622e7a07ab39e completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:44 p.m.