Triple
T13139907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shijiazhuang Zhengding International Airport |
E312184
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ZBSJ
ZBSJ is the ICAO airport code for Shijiazhuang Zhengding International Airport, a major air transport hub serving Shijiazhuang in Hebei Province, China.
|
E1024773
|
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: ZBSJ | Statement: [Shijiazhuang Zhengding International Airport, ICAOcode, ZBSJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZBSJ Context triple: [Shijiazhuang Zhengding International Airport, ICAOcode, ZBSJ]
-
A.
ZBTJ
ZBTJ is the ICAO airport code for Tianjin Binhai International Airport, a major commercial and cargo aviation hub serving the city of Tianjin, China.
-
B.
ZBH
ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
-
C.
ZSNJ
ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
-
D.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
E.
ZS
ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
- 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: ZBSJ Triple: [Shijiazhuang Zhengding International Airport, ICAOcode, ZBSJ]
Generated description
ZBSJ is the ICAO airport code for Shijiazhuang Zhengding International Airport, a major air transport hub serving Shijiazhuang in Hebei Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZBSJ Target entity description: ZBSJ is the ICAO airport code for Shijiazhuang Zhengding International Airport, a major air transport hub serving Shijiazhuang in Hebei Province, China.
-
A.
ZBTJ
ZBTJ is the ICAO airport code for Tianjin Binhai International Airport, a major commercial and cargo aviation hub serving the city of Tianjin, China.
-
B.
ZBH
ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
-
C.
ZSNJ
ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
-
D.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
E.
ZS
ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b6a4348190b9922ed255759078 |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae2c3848190b062fa8da7dc8a92 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6f01e9c488190ad52280903c074da |
completed | May 3, 2026, 6:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f0e5f94c81908f4707913dc5dc92 |
completed | May 3, 2026, 6:53 a.m. |
Created at: April 9, 2026, 9:09 p.m.