Triple
T21671056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Mayensfield |
E534843
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ZXB
ZXB is the IATA airport code for Jan Mayensfield, the small airfield serving Norway’s remote Arctic island of Jan Mayen.
|
E1495891
|
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: ZXB | Statement: [Jan Mayensfield, IATAcode, ZXB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZXB Context triple: [Jan Mayensfield, IATAcode, ZXB]
-
A.
ZSXZ
ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
-
B.
XZN
XZN is the IATA station code assigned to the Avignon TGV high-speed railway station in southeastern France.
-
C.
SXB
SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
-
D.
CZX
CZX is the IATA airport code for Changzhou Benniu International Airport, a commercial airport serving Changzhou in Jiangsu Province, China.
-
E.
XUZ
XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu 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: ZXB Triple: [Jan Mayensfield, IATAcode, ZXB]
Generated description
ZXB is the IATA airport code for Jan Mayensfield, the small airfield serving Norway’s remote Arctic island of Jan Mayen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZXB Target entity description: ZXB is the IATA airport code for Jan Mayensfield, the small airfield serving Norway’s remote Arctic island of Jan Mayen.
-
A.
ZSXZ
ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
-
B.
XZN
XZN is the IATA station code assigned to the Avignon TGV high-speed railway station in southeastern France.
-
C.
SXB
SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
-
D.
CZX
CZX is the IATA airport code for Changzhou Benniu International Airport, a commercial airport serving Changzhou in Jiangsu Province, China.
-
E.
XUZ
XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0badd08190ad2ec2b8e46be379 |
completed | April 27, 2026, 4:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a15a57e2081909dae14d826f0f9a9 |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a16ac5ee881909ede61c149be61fa |
completed | May 17, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17d9a48881908d9858e40d41674c |
completed | May 17, 2026, 7:32 p.m. |
Created at: April 16, 2026, 6:37 p.m.