Triple

T19532333
Position Surface form Disambiguated ID Type / Status
Subject Santa Cruz METRO bus service E488685 entity
Predicate alsoKnownAs P39 FINISHED
Object METRO
METRO is the public bus transit system serving Santa Cruz County, California.
E1381506 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: METRO | Statement: [Santa Cruz METRO bus service, alsoKnownAs, METRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: METRO
Context triple: [Santa Cruz METRO bus service, alsoKnownAs, METRO]
  • A. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • B. METRO
    METRO is the public transit system serving the Rock Region metropolitan area, providing bus and related transportation services to local residents.
  • C. Metron
    Metron is a cosmic New God in DC Comics known for his insatiable quest for knowledge and his use of the Mobius Chair to traverse time and space.
  • D. Metro S.A.
    Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
  • E. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • 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: METRO
Triple: [Santa Cruz METRO bus service, alsoKnownAs, METRO]
Generated description
METRO is the public bus transit system serving Santa Cruz County, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: METRO
Target entity description: METRO is the public bus transit system serving Santa Cruz County, California.
  • A. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • B. METRO
    METRO is the public transit system serving the Rock Region metropolitan area, providing bus and related transportation services to local residents.
  • C. Metron
    Metron is a cosmic New God in DC Comics known for his insatiable quest for knowledge and his use of the Mobius Chair to traverse time and space.
  • D. Metro S.A.
    Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
  • E. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363fd1f8819080805346efad2579 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e7b52d88190b0e095ce39d7a003 completed May 15, 2026, 4:48 p.m.
NEDg Description generation batch_6a074f6d79b88190a0b8442af2be0ed1 completed May 15, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_6a074fed47bc8190b1a78dcc50345ca4 completed May 15, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:41 p.m.