Triple

T10212146
Position Surface form Disambiguated ID Type / Status
Subject Shroud of Turin Research Project E242354 entity
Predicate hasAcronym P43 FINISHED
Object STURP
STURP is a scientific team formed in the late 1970s that conducted extensive multidisciplinary examinations of the Shroud of Turin.
 E849808 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: STURP | Statement: [Shroud of Turin Research Project, hasAcronym, STURP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STURP
Context triple: [Shroud of Turin Research Project, hasAcronym, STURP]
  • A. Stumpff
    Stumpff is a German surname most notably associated with Hans-Jürgen Stumpff, a Luftwaffe general during World War II.
  • B. STRI
    STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
  • C. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • D. STE
    STE is the public agency that operates Mexico City’s electric transport services, including trolleybuses and light rail.
  • E. STOU
    STOU is an FTP protocol command that requests the server to store a file under a unique name to avoid overwriting existing files.
  • 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: STURP
Triple: [Shroud of Turin Research Project, hasAcronym, STURP]
Generated description
STURP is a scientific team formed in the late 1970s that conducted extensive multidisciplinary examinations of the Shroud of Turin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STURP
Target entity description: STURP is a scientific team formed in the late 1970s that conducted extensive multidisciplinary examinations of the Shroud of Turin.
  • A. Stumpff
    Stumpff is a German surname most notably associated with Hans-Jürgen Stumpff, a Luftwaffe general during World War II.
  • B. STRI
    STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
  • C. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • D. STE
    STE is the public agency that operates Mexico City’s electric transport services, including trolleybuses and light rail.
  • E. STOU
    STOU is an FTP protocol command that requests the server to store a file under a unique name to avoid overwriting existing files.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa23bce881909b5deac612ec22cb completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652e25be88190a6f1763e9e86666a completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d657818b008190a24170717cff53b9 completed April 8, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69d65835a11c819083d069ab0f644d4c completed April 8, 2026, 1:29 p.m.
Created at: April 6, 2026, 11:02 a.m.