Triple

T2594762
Position Surface form Disambiguated ID Type / Status
Subject South Caicos E58201 entity
Predicate airportIATAcode P418 FINISHED
Object XSC
XSC is the IATA airport code for South Caicos Airport in the Turks and Caicos Islands.
 E281717 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: XSC | Statement: [South Caicos, airportIATAcode, XSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XSC
Context triple: [South Caicos, airportIATAcode, XSC]
  • A. XCD
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • B. XCH
    XCH is the IATA airport code for Christmas Island’s main international airport in the Indian Ocean.
  • C. AScX
    AScX is a Dutch stock market index that tracks the performance of small-cap companies listed on the Amsterdam Stock Exchange.
  • D. XCA
    XCA (Cross-Community Access) is an IHE IT Infrastructure profile that enables the discovery and retrieval of patient health records across different healthcare communities or domains.
  • E. XDS
    XDS (Cross-Enterprise Document Sharing) is an IHE IT Infrastructure profile that defines standards-based methods for registering, storing, and sharing clinical documents across healthcare enterprises.
  • 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: XSC
Triple: [South Caicos, airportIATAcode, XSC]
Generated description
XSC is the IATA 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: XSC
Target entity description: XSC is the IATA airport code for South Caicos Airport in the Turks and Caicos Islands.
  • A. XCD
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • B. XCH
    XCH is the IATA airport code for Christmas Island’s main international airport in the Indian Ocean.
  • C. AScX
    AScX is a Dutch stock market index that tracks the performance of small-cap companies listed on the Amsterdam Stock Exchange.
  • D. XCA
    XCA (Cross-Community Access) is an IHE IT Infrastructure profile that enables the discovery and retrieval of patient health records across different healthcare communities or domains.
  • E. XDS
    XDS (Cross-Enterprise Document Sharing) is an IHE IT Infrastructure profile that defines standards-based methods for registering, storing, and sharing clinical documents across healthcare enterprises.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd427f58c8190af1c1a9724158c96 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83c3607c81908bb4aceca46c5392 completed March 10, 2026, 2:36 a.m.
NEDg Description generation batch_69af84a08ffc8190b113d07f3d322d0c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85a052448190898ee1a2f8368122 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.