Triple

T5767871
Position Surface form Disambiguated ID Type / Status
Subject XQuery Update Facility E127257 entity
Predicate shortName P43 FINISHED
Object XQUF
XQUF is the standardized extension to the XQuery language that adds capabilities for updating and modifying XML data.
 E543063 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: XQUF | Statement: [XQuery Update Facility, shortName, XQUF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XQUF
Context triple: [XQuery Update Facility, shortName, XQUF]
  • A. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • B. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • C. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • D. XUA
    XUA (Cross-Enterprise User Assertion) is an IHE IT Infrastructure profile that standardizes how user identity and authentication information is securely communicated across healthcare enterprises.
  • E. CQX
    CQX is the IATA airport code for Chatham Municipal Airport, a public airport serving Chatham, Massachusetts, in the United States.
  • 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: XQUF
Triple: [XQuery Update Facility, shortName, XQUF]
Generated description
XQUF is the standardized extension to the XQuery language that adds capabilities for updating and modifying XML data.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XQUF
Target entity description: XQUF is the standardized extension to the XQuery language that adds capabilities for updating and modifying XML data.
  • A. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • B. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • C. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • D. XUA
    XUA (Cross-Enterprise User Assertion) is an IHE IT Infrastructure profile that standardizes how user identity and authentication information is securely communicated across healthcare enterprises.
  • E. CQX
    CQX is the IATA airport code for Chatham Municipal Airport, a public airport serving Chatham, Massachusetts, in the United States.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029731adc8190888adc8178a08e90 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e5d8c8c819081067de808ac1b56 completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08bce3e808190af4e2f0e8591b2de completed March 23, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_69c08c6d1a788190acb7651a1f144d9d completed March 23, 2026, 12:42 a.m.
Created at: March 22, 2026, 3:49 p.m.