Triple

T15974289
Position Surface form Disambiguated ID Type / Status
Subject CT colonography E387404 entity
Predicate usesModality P25869 FINISHED
Object computed tomography
Computed tomography is a medical imaging technique that uses X-rays and computer processing to create detailed cross-sectional images of the body.
 E1185634 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: computed tomography | Statement: [CT colonography, usesModality, computed tomography]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: computed tomography
Context triple: [CT colonography, usesModality, computed tomography]
  • A. MDCT
    MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
  • B. CT
    CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • C. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • D. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • E. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • 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: computed tomography
Triple: [CT colonography, usesModality, computed tomography]
Generated description
Computed tomography is a medical imaging technique that uses X-rays and computer processing to create detailed cross-sectional images of the body.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: computed tomography
Target entity description: Computed tomography is a medical imaging technique that uses X-rays and computer processing to create detailed cross-sectional images of the body.
  • A. MDCT
    MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
  • B. CT
    CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • C. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • D. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • E. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572b667c8190b28d0556e45422bb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8ce7788190a3e0aefc9a29d58a completed May 9, 2026, 11:09 p.m.
NEDg Description generation batch_69ffbf50d5fc8190a045846f046e04cf completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfb1ed7c81908771dedce172707a completed May 9, 2026, 11:13 p.m.
Created at: April 10, 2026, 4:54 a.m.