Triple
T7022140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penghu Airport |
E162851
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
RCQC
RCQC is the ICAO airport code for Penghu Airport, a regional airport serving the Penghu Islands in Taiwan.
|
E637005
|
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: RCQC | Statement: [Penghu Airport, hasICAOcode, RCQC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCQC Context triple: [Penghu Airport, hasICAOcode, RCQC]
-
A.
QC
QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
-
B.
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.
-
C.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
D.
CQC
The Care Quality Commission (CQC) is the independent regulator of health and social care services in England, responsible for monitoring, inspecting, and rating providers to ensure quality and safety.
-
E.
CA-QC
CA-QC is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of Quebec.
- 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: RCQC Triple: [Penghu Airport, hasICAOcode, RCQC]
Generated description
RCQC is the ICAO airport code for Penghu Airport, a regional airport serving the Penghu Islands in Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RCQC Target entity description: RCQC is the ICAO airport code for Penghu Airport, a regional airport serving the Penghu Islands in Taiwan.
-
A.
QC
QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
-
B.
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.
-
C.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
D.
CQC
The Care Quality Commission (CQC) is the independent regulator of health and social care services in England, responsible for monitoring, inspecting, and rating providers to ensure quality and safety.
-
E.
CA-QC
CA-QC is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of Quebec.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1ec34a48190b64cafb94e2f8706 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7757686bc819089f6749e43bbb89d |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c778f1b3508190b58bbec8877a6052 |
completed | March 28, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c779cad0188190a840be47d2af5b2b |
completed | March 28, 2026, 6:48 a.m. |
Created at: March 27, 2026, 2:35 p.m.