Triple
T18398420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qingdao Jiaodong International Airport |
E449927
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ZSQD
ZSQD is the ICAO airport code for Qingdao Jiaodong International Airport in Qingdao, China.
|
E1322069
|
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: ZSQD | Statement: [Qingdao Jiaodong International Airport, ICAOcode, ZSQD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZSQD Context triple: [Qingdao Jiaodong International Airport, ICAOcode, ZSQD]
-
A.
ZSQZ
ZSQZ is the ICAO airport code for Quanzhou Jinjiang International Airport in Fujian Province, China.
-
B.
ZQN
ZQN is the IATA airport code for Queenstown Airport, the main air gateway to the resort town of Queenstown in New Zealand.
-
C.
GZQ
GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
-
D.
ZSXZ
ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
-
E.
QZ
QZ is the IATA airline designator used for AirAsia Indonesia, a low-cost carrier based in Indonesia.
- 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: ZSQD Triple: [Qingdao Jiaodong International Airport, ICAOcode, ZSQD]
Generated description
ZSQD is the ICAO airport code for Qingdao Jiaodong International Airport in Qingdao, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZSQD Target entity description: ZSQD is the ICAO airport code for Qingdao Jiaodong International Airport in Qingdao, China.
-
A.
ZSQZ
ZSQZ is the ICAO airport code for Quanzhou Jinjiang International Airport in Fujian Province, China.
-
B.
ZQN
ZQN is the IATA airport code for Queenstown Airport, the main air gateway to the resort town of Queenstown in New Zealand.
-
C.
GZQ
GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
-
D.
ZSXZ
ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
-
E.
QZ
QZ is the IATA airline designator used for AirAsia Indonesia, a low-cost carrier based in Indonesia.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5184879548190b7f428e2d4c2caa4 |
completed | April 19, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e2427c448190b3562d7cb0313d5a |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e2ca62f881908122f2d2fe3b937d |
completed | May 13, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e33718f481909377eeff33332f33 |
completed | May 13, 2026, 2:34 a.m. |
Created at: April 10, 2026, 10:46 a.m.