Triple

T5315824
Position Surface form Disambiguated ID Type / Status
Subject Government Center Metrorail station E119143 entity
Predicate hasStationCode P1289 FINISHED
Object GVT
GVT is the station code for Government Center, a major Metrorail transit hub in downtown Miami, Florida.
 E511060 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: GVT | Statement: [Government Center Metrorail station, hasStationCode, GVT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GVT
Context triple: [Government Center Metrorail station, hasStationCode, GVT]
  • A. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • B. GJT
    GJT is the IATA airport code for Grand Junction Regional Airport, a commercial airport serving Grand Junction and western Colorado.
  • C. GTC
    GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
  • D. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • E. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • 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: GVT
Triple: [Government Center Metrorail station, hasStationCode, GVT]
Generated description
GVT is the station code for Government Center, a major Metrorail transit hub in downtown Miami, Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GVT
Target entity description: GVT is the station code for Government Center, a major Metrorail transit hub in downtown Miami, Florida.
  • A. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • B. GJT
    GJT is the IATA airport code for Grand Junction Regional Airport, a commercial airport serving Grand Junction and western Colorado.
  • C. GTC
    GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
  • D. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • E. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854eb3248190b42a4b52f1c81bef completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110e89548190a5eb0bad6ab0483b completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf1263876c8190a278f06ad8ac816a completed March 21, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69bf12c123008190a0d3f3c23af59819 completed March 21, 2026, 9:50 p.m.
Created at: March 20, 2026, 1:54 p.m.