Triple

T18021215
Position Surface form Disambiguated ID Type / Status
Subject Superior vena cava E431119 entity
Predicate hasAbbreviation P43 FINISHED
Object SVC
SVC is a major vein in the upper chest that returns deoxygenated blood from the head, neck, upper limbs, and upper torso to the right atrium of the heart.
 E1301605 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: SVC | Statement: [Superior vena cava, hasAbbreviation, SVC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVC
Context triple: [Superior vena cava, hasAbbreviation, SVC]
  • A. SVC
    SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
  • B. SVC
    SVC is the commonly used abbreviation for Sri Venkateswara Creations, a prominent Indian film production company known for producing Telugu-language movies.
  • C. SAVC
    SAVC is the ICAO airport code for General Enrique Mosconi International Airport in Comodoro Rivadavia, Argentina.
  • D. SVCN
    SVCN is the ICAO airport code for Canaima airstrip, a small airport serving the Canaima National Park region in Venezuela.
  • E. svcs
    svcs is a Solaris command-line utility that displays the status and detailed information of services managed by the Service Management Facility (SMF).
  • 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: SVC
Triple: [Superior vena cava, hasAbbreviation, SVC]
Generated description
SVC is a major vein in the upper chest that returns deoxygenated blood from the head, neck, upper limbs, and upper torso to the right atrium of the heart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVC
Target entity description: SVC is a major vein in the upper chest that returns deoxygenated blood from the head, neck, upper limbs, and upper torso to the right atrium of the heart.
  • A. SVC
    SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
  • B. SVC
    SVC is the commonly used abbreviation for Sri Venkateswara Creations, a prominent Indian film production company known for producing Telugu-language movies.
  • C. SAVC
    SAVC is the ICAO airport code for General Enrique Mosconi International Airport in Comodoro Rivadavia, Argentina.
  • D. SVCN
    SVCN is the ICAO airport code for Canaima airstrip, a small airport serving the Canaima National Park region in Venezuela.
  • E. svcs
    svcs is a Solaris command-line utility that displays the status and detailed information of services managed by the Service Management Facility (SMF).
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c299c48190b0cceecf77cb6de9 completed April 19, 2026, 11:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a034328fef08190a3f78f8bee859d24 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a03447c0530819082d554592eec03ca completed May 12, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a034552e424819087b23bcf3f688523 completed May 12, 2026, 3:20 p.m.
Created at: April 10, 2026, 10:24 a.m.