Triple

T30843228
Position Surface form Disambiguated ID Type / Status
Subject Hasselblad E785565 entity
Predicate hasCameraMount P33676 FINISHED
Object Hasselblad V-mount
The Hasselblad V-mount is a classic medium-format lens mount system used on Hasselblad’s iconic V-series film cameras, renowned for its modular design and professional image quality.
 E1977244 NE FINISHED

How this triple was built (3 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: Hasselblad V-mount | Statement: [Hasselblad, hasCameraMount, Hasselblad V-mount]
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: Hasselblad V-mount
Triple: [Hasselblad, hasCameraMount, Hasselblad V-mount]
Generated description
The Hasselblad V-mount is a classic medium-format lens mount system used on Hasselblad’s iconic V-series film cameras, renowned for its modular design and professional image quality.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCameraMount
Context triple: [Hasselblad, hasCameraMount, Hasselblad V-mount]
  • A. hasCamera
    Indicates that an entity is equipped with or possesses a camera.
  • B. hasMountingFeature
    Indicates that one entity includes or provides a structural feature intended for mounting or attaching another entity.
  • C. tripodMount
    Indicates that one entity provides or uses a mounting interface designed to attach to a tripod.
  • D. usesLensMount chosen
    Indicates that one device or component is designed to accept, attach to, or operate with a specific type of lens mount.
  • E. compatibleWithCamera
    Indicates that one item can function correctly or be used without conflict together with a specified camera.
  • F. None of above.

Provenance (6 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_69f224b850848190a4af4ccf8ddadcdf completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe30bc64308190b603ff1b30c2aeee completed May 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d2b13cc8190adf2990cbb455dbc completed June 13, 2026, 6:10 p.m.
NEDg Description generation batch_6a2d9e2593f4819092c89187e84af3c9 completed June 13, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2d9f083f0481909184bb37c1ce0e7a completed June 13, 2026, 6:18 p.m.
PD Predicate disambiguation batch_69fe2f7175b081908dd61e1513620bbe completed May 8, 2026, 6:46 p.m.
Created at: April 29, 2026, 8:46 p.m.