Triple

T13547682
Position Surface form Disambiguated ID Type / Status
Subject XQ Institute E323555 entity
Predicate alsoKnownAs P39 FINISHED
Object XQ
XQ is an education-focused organization dedicated to reimagining and transforming American high schools through innovation and community-driven initiatives.
 E1046157 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: XQ | Statement: [XQ Institute, alsoKnownAs, XQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XQ
Context triple: [XQ Institute, alsoKnownAs, XQ]
  • A. XQ
    XQ is the IATA airline designator used for SunExpress, a Turkish-German leisure airline.
  • B. QX
    QX is the IATA airline designator code assigned to Horizon Air, a regional airline based in the United States.
  • C. QXE
    QXE is the ICAO airline designator used to identify Horizon Air in international aviation operations.
  • D. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • E. XQE
    XQE is the IATA station code for Ebbsfleet International, a major high-speed rail hub in Kent, England.
  • 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: XQ
Triple: [XQ Institute, alsoKnownAs, XQ]
Generated description
XQ is an education-focused organization dedicated to reimagining and transforming American high schools through innovation and community-driven initiatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XQ
Target entity description: XQ is an education-focused organization dedicated to reimagining and transforming American high schools through innovation and community-driven initiatives.
  • A. XQ
    XQ is the IATA airline designator used for SunExpress, a Turkish-German leisure airline.
  • B. QX
    QX is the IATA airline designator code assigned to Horizon Air, a regional airline based in the United States.
  • C. QXE
    QXE is the ICAO airline designator used to identify Horizon Air in international aviation operations.
  • D. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • E. XQE
    XQE is the IATA station code for Ebbsfleet International, a major high-speed rail hub in Kent, England.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdb466881908fb46642dc66849d completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da2c2008190b43a653a349ea0c7 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ed5457c819093081c6a22f13c91 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f7e9d2c81909ec5540b34ac97cb completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:45 p.m.