Triple

T684885
Position Surface form Disambiguated ID Type / Status
Subject Vermont/Sunset station E13262 entity
Predicate hasStationCode P1289 FINISHED
Object VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
 E83611 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: VTST | Statement: [Vermont/Sunset station, hasStationCode, VTST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VTST
Context triple: [Vermont/Sunset station, hasStationCode, VTST]
  • A. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • B. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • C. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • D. Tvishi
    Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
  • E. TRST
    TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
  • 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: VTST
Triple: [Vermont/Sunset station, hasStationCode, VTST]
Generated description
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VTST
Target entity description: VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
  • A. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • B. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • C. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • D. Tvishi
    Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
  • E. TRST
    TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0725c708190aa6edfee742ca4e6 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a743c08190be4db12e2ed39ffb completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c510ceec81908770fee50c0e69b1 completed March 2, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd4af9a0819093cb72432dbec343 completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.