Triple
T7635997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanjing Lukou International Airport |
E172879
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ZSNJ
ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
|
E678058
|
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: ZSNJ | Statement: [Nanjing Lukou International Airport, ICAOcode, ZSNJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZSNJ Context triple: [Nanjing Lukou International Airport, ICAOcode, ZSNJ]
-
A.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
B.
ZSFZ
ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
-
C.
ZQN
ZQN is the IATA airport code for Queenstown Airport, the main air gateway to the resort town of Queenstown in New Zealand.
-
D.
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.
-
E.
ZDJ
ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
- 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: ZSNJ Triple: [Nanjing Lukou International Airport, ICAOcode, ZSNJ]
Generated description
ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZSNJ Target entity description: ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
-
A.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
B.
ZSFZ
ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
-
C.
ZQN
ZQN is the IATA airport code for Queenstown Airport, the main air gateway to the resort town of Queenstown in New Zealand.
-
D.
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.
-
E.
ZDJ
ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa95e488190962c23609e0890a5 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870c33ce081908df916d769fa84be |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c871e18b188190adeeca26c4808ed5 |
completed | March 29, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c872edf39c8190acc70d998df2b192 |
completed | March 29, 2026, 12:31 a.m. |
Created at: March 27, 2026, 3:57 p.m.