Triple

T11843630
Position Surface form Disambiguated ID Type / Status
Subject South Caicos Airport E281716 entity
Predicate ICAO code P419 FINISHED
Object MBSC
MBSC is the ICAO airport code for South Caicos Airport in the Turks and Caicos Islands.
 E949235 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: MBSC | Statement: [South Caicos Airport, ICAO code, MBSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MBSC
Context triple: [South Caicos Airport, ICAO code, MBSC]
  • A. MBSJ
    MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
  • B. MBMC
    MBMC is the municipal governing body responsible for civic administration and infrastructure in the Mira-Bhayandar region of Maharashtra, India.
  • C. MCSC
    MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
  • D. MSB
    MSB is the Turkish Ministry of National Defence, the government body responsible for overseeing Turkey’s armed forces and national defense policy.
  • E. MSB
    MSB is a professional French basketball club based in Le Mans that competes in the country’s top-tier league and European competitions.
  • 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: MBSC
Triple: [South Caicos Airport, ICAO code, MBSC]
Generated description
MBSC is the ICAO airport code for South Caicos Airport in the Turks and Caicos Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MBSC
Target entity description: MBSC is the ICAO airport code for South Caicos Airport in the Turks and Caicos Islands.
  • A. MBSJ
    MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
  • B. MBMC
    MBMC is the municipal governing body responsible for civic administration and infrastructure in the Mira-Bhayandar region of Maharashtra, India.
  • C. MCSC
    MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
  • D. MSB
    MSB is the Turkish Ministry of National Defence, the government body responsible for overseeing Turkey’s armed forces and national defense policy.
  • E. MSB
    MSB is a professional French basketball club based in Le Mans that competes in the country’s top-tier league and European competitions.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65a597c8190b09f57463b279afc completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1679729c08190a9f6750586f90d8d completed April 29, 2026, 2:06 a.m.
NEDg Description generation batch_69f17005c318819090e54bc64d135477 completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17814de1881908973af026af5d1d1 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.