Triple

T2673651
Position Surface form Disambiguated ID Type / Status
Subject Salt Cay E56406 entity
Predicate ICAOcode P419 FINISHED
Object MBSY
MBSY is the ICAO airport code for the small airport serving Salt Cay in the Turks and Caicos Islands.
 E287909 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: MBSY | Statement: [Salt Cay, ICAOcode, MBSY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MBSY
Context triple: [Salt Cay, ICAOcode, MBSY]
  • A. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • B. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • C. BSM
    The Bronze Star Medal (BSM) is a United States military decoration awarded for heroic or meritorious achievement or service in a combat zone.
  • D. MRSG
    MRSG is a U.S. Marine Corps organization that provides specialized logistical, administrative, and operational support to Marine Raider units within Marine Forces Special Operations Command (MARSOC).
  • E. MRS
    MRS is the Materials Research Society, a professional organization dedicated to advancing interdisciplinary materials science and engineering research and education.
  • 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: MBSY
Triple: [Salt Cay, ICAOcode, MBSY]
Generated description
MBSY is the ICAO airport code for the small airport serving Salt Cay in the Turks and Caicos Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MBSY
Target entity description: MBSY is the ICAO airport code for the small airport serving Salt Cay in the Turks and Caicos Islands.
  • A. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • B. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • C. BSM
    The Bronze Star Medal (BSM) is a United States military decoration awarded for heroic or meritorious achievement or service in a combat zone.
  • D. MRSG
    MRSG is a U.S. Marine Corps organization that provides specialized logistical, administrative, and operational support to Marine Raider units within Marine Forces Special Operations Command (MARSOC).
  • E. MRS
    MRS is the Materials Research Society, a professional organization dedicated to advancing interdisciplinary materials science and engineering research and education.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b08b1c8190824342fc63e555d2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06170108190a6f4be82fa4ecd2a completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0e62fa08190bf278abfce54708d completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1c8a7708190bdaefee27d596e49 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.