Triple

T21822753
Position Surface form Disambiguated ID Type / Status
Subject Santa Maria Valley Discovery Museum E538766 entity
Predicate abbreviation P43 FINISHED
Object SMVDM
SMVDM is a hands-on children's museum in California’s Santa Maria Valley that offers interactive exhibits and educational programs focused on science, technology, and local culture.
 E1504123 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: SMVDM | Statement: [Santa Maria Valley Discovery Museum, abbreviation, SMVDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SMVDM
Context triple: [Santa Maria Valley Discovery Museum, abbreviation, SMVDM]
  • A. Svm
    Svm is the station code used to identify Svanemøllen railway station in Copenhagen’s public transport system.
  • B. SMV
    SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
  • C. SMV
    SMV is the IATA airport code for Samedan Airport, a regional airport serving the St. Moritz area in Switzerland’s Engadin valley.
  • D. SMV
    SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
  • E. VDM
    VDM is the IATA airport code for Gobernador Edgardo Castello Airport in Viedma, Argentina.
  • 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: SMVDM
Triple: [Santa Maria Valley Discovery Museum, abbreviation, SMVDM]
Generated description
SMVDM is a hands-on children's museum in California’s Santa Maria Valley that offers interactive exhibits and educational programs focused on science, technology, and local culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SMVDM
Target entity description: SMVDM is a hands-on children's museum in California’s Santa Maria Valley that offers interactive exhibits and educational programs focused on science, technology, and local culture.
  • A. Svm
    Svm is the station code used to identify Svanemøllen railway station in Copenhagen’s public transport system.
  • B. SMV
    SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
  • C. SMV
    SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
  • D. SMV
    SMV is the IATA airport code for Samedan Airport, a regional airport serving the St. Moritz area in Switzerland’s Engadin valley.
  • E. VDM
    VDM is the IATA airport code for Gobernador Edgardo Castello Airport in Viedma, Argentina.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912f69f08190b06c718aa35c2bf0 completed April 28, 2026, 10:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45e300e48190bf242b2929a5445b completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a46c771348190aa1fa8b3b8fcac3f completed May 17, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a47bf44c881908504b2537649adf6 completed May 17, 2026, 10:57 p.m.
Created at: April 16, 2026, 6:54 p.m.