Triple

T8902314
Position Surface form Disambiguated ID Type / Status
Subject middle cerebral artery E211957 entity
Predicate hasSegment P3574 FINISHED
Object M2 segment
The M2 segment is the portion of the middle cerebral artery that runs within the Sylvian fissure, giving rise to branches that supply much of the lateral surface of the cerebral hemisphere.
E764635 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: M2 segment | Statement: [middle cerebral artery, hasSegment, M2 segment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M2 segment
Context triple: [middle cerebral artery, hasSegment, M2 segment]
  • A. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • B. M2
    M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
  • C. M2
    M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
  • D. M2
    M2 is one of the main lines of the Copenhagen Metro, connecting central Copenhagen with key districts and the airport.
  • E. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • 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: M2 segment
Triple: [middle cerebral artery, hasSegment, M2 segment]
Generated description
The M2 segment is the portion of the middle cerebral artery that runs within the Sylvian fissure, giving rise to branches that supply much of the lateral surface of the cerebral hemisphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M2 segment
Target entity description: The M2 segment is the portion of the middle cerebral artery that runs within the Sylvian fissure, giving rise to branches that supply much of the lateral surface of the cerebral hemisphere.
  • A. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • B. M2
    M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
  • C. M2
    M2 is one of the main lines of the Copenhagen Metro, connecting central Copenhagen with key districts and the airport.
  • D. M2
    M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
  • E. M2
    M2 is one of the main lines of the Bucharest Metro, running on a north–south axis and serving several of the city’s key residential and commercial areas.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc642a104081908df2d64e8f9ad0c8 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac1846f481909aad27a6dacddba2 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfacb58f208190b5e8eeba58f1bd78 completed April 3, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfad73f7a8819089ee3dadf321220e completed April 3, 2026, 12:07 p.m.
Created at: March 30, 2026, 6:55 p.m.