Triple
T17509135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quanzhou Jinjiang International Airport |
E426402
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ZSQZ
ZSQZ is the ICAO airport code for Quanzhou Jinjiang International Airport in Fujian Province, China.
|
E1272716
|
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: ZSQZ | Statement: [Quanzhou Jinjiang International Airport, ICAOcode, ZSQZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZSQZ Context triple: [Quanzhou Jinjiang International Airport, ICAOcode, ZSQZ]
-
A.
ZQN
ZQN is the IATA airport code for Queenstown Airport, the main air gateway to the resort town of Queenstown in New Zealand.
-
B.
GZQ
GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
-
C.
ZGSZ
ZGSZ is the ICAO airport code for Shenzhen Bao’an International Airport, a major aviation hub serving the city of Shenzhen in Guangdong, China.
-
D.
ZSXZ
ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
-
E.
ZSFZ
ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
- 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: ZSQZ Triple: [Quanzhou Jinjiang International Airport, ICAOcode, ZSQZ]
Generated description
ZSQZ is the ICAO airport code for Quanzhou Jinjiang International Airport in Fujian Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZSQZ Target entity description: ZSQZ is the ICAO airport code for Quanzhou Jinjiang International Airport in Fujian Province, China.
-
A.
ZQN
ZQN is the IATA airport code for Queenstown Airport, the main air gateway to the resort town of Queenstown in New Zealand.
-
B.
GZQ
GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
-
C.
ZGSZ
ZGSZ is the ICAO airport code for Shenzhen Bao’an International Airport, a major aviation hub serving the city of Shenzhen in Guangdong, China.
-
D.
ZSXZ
ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
-
E.
ZSFZ
ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525a43208190b8728214767428c0 |
completed | April 19, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c20cbf8081909227938b324e45fe |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c388d87c8190ad015b2b63bef528 |
completed | May 11, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c431b4608190b5636a232ff46733 |
completed | May 11, 2026, 11:57 a.m. |
Created at: April 10, 2026, 5:48 a.m.