Triple

T11612872
Position Surface form Disambiguated ID Type / Status
Subject Quezon City Experience E275426 entity
Predicate shortName P43 FINISHED
Object QCX
QCX is an interactive social history museum in Quezon City, Philippines, showcasing the city's cultural, political, and urban development through immersive exhibits.
E936703 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: QCX | Statement: [Quezon City Experience, shortName, QCX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QCX
Context triple: [Quezon City Experience, shortName, QCX]
  • A. CQX
    CQX is the IATA airport code for Chatham Municipal Airport, a public airport serving Chatham, Massachusetts, in the United States.
  • B. QX
    QX is the IATA airline designator code assigned to Horizon Air, a regional airline based in the United States.
  • C. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • D. QC
    QC was the IATA airline designator assigned to East African Airways, the former multinational flag carrier jointly owned by Kenya, Tanzania, and Uganda.
  • E. QC
    QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
  • 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: QCX
Triple: [Quezon City Experience, shortName, QCX]
Generated description
QCX is an interactive social history museum in Quezon City, Philippines, showcasing the city's cultural, political, and urban development through immersive exhibits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: QCX
Target entity description: QCX is an interactive social history museum in Quezon City, Philippines, showcasing the city's cultural, political, and urban development through immersive exhibits.
  • A. CQX
    CQX is the IATA airport code for Chatham Municipal Airport, a public airport serving Chatham, Massachusetts, in the United States.
  • B. QX
    QX is the IATA airline designator code assigned to Horizon Air, a regional airline based in the United States.
  • C. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • D. QC
    QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
  • E. QC
    QC was the IATA airline designator assigned to East African Airways, the former multinational flag carrier jointly owned by Kenya, Tanzania, and Uganda.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84161d88190a3e810d19d6ea8b8 completed April 22, 2026, 10:51 a.m.
NEDg Description generation batch_69e8af9665648190b7732076aa129671 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b41febc8190bc37672535735710 completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.