Triple

T6549987
Position Surface form Disambiguated ID Type / Status
Subject Hat Yai International Airport E151105 entity
Predicate ICAOcode P419 FINISHED
Object VTSS
VTSS is the ICAO airport code assigned to Hat Yai International Airport in southern Thailand.
 E605472 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: VTSS | Statement: [Hat Yai International Airport, ICAOcode, VTSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VTSS
Context triple: [Hat Yai International Airport, ICAOcode, VTSS]
  • A. VVTS
    VVTS is the ICAO airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • B. VTST
    VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
  • C. VTsSPS
    VTsSPS was the central national trade union council of the Soviet Union, overseeing and coordinating the activities of all official trade unions across the country.
  • D. SSV
    SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
  • E. VMS
    VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
  • 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: VTSS
Triple: [Hat Yai International Airport, ICAOcode, VTSS]
Generated description
VTSS is the ICAO airport code assigned to Hat Yai International Airport in southern Thailand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VTSS
Target entity description: VTSS is the ICAO airport code assigned to Hat Yai International Airport in southern Thailand.
  • A. VVTS
    VVTS is the ICAO airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • B. VTST
    VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
  • C. VTsSPS
    VTsSPS was the central national trade union council of the Soviet Union, overseeing and coordinating the activities of all official trade unions across the country.
  • D. SSV
    SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
  • E. VMS
    VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae04affc8190826ee033849f2d42 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55113408190b96baf2747f36e3c completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d82753288190bb8cd18254feee2d completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d92bc2508190b0e1eaf8b46c958e completed March 27, 2026, 7:23 p.m.
Created at: March 27, 2026, 1:51 p.m.