Triple
T12210669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuzhou Guanyin International Airport |
E290947
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
XUZ
XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
|
E971331
|
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: XUZ | Statement: [Xuzhou Guanyin International Airport, IATAcode, XUZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XUZ Context triple: [Xuzhou Guanyin International Airport, IATAcode, XUZ]
-
A.
XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
-
B.
Xu
Xu is a common Chinese surname with historical roots and many notable bearers across Chinese history and culture.
-
C.
XZN
XZN is the IATA station code assigned to the Avignon TGV high-speed railway station in southeastern France.
-
D.
YXU
YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
-
E.
UZ
UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
- 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: XUZ Triple: [Xuzhou Guanyin International Airport, IATAcode, XUZ]
Generated description
XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XUZ Target entity description: XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
-
A.
XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
-
B.
Xu
Xu is a common Chinese surname with historical roots and many notable bearers across Chinese history and culture.
-
C.
XZN
XZN is the IATA station code assigned to the Avignon TGV high-speed railway station in southeastern France.
-
D.
YXU
YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
-
E.
UZ
UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9f45108190a814cdca52e77b5e |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdbee288190991b08ae685bb401 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f610ba7a608190b29f25ee2752ba7e |
completed | May 2, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:51 p.m.