Triple
T14930199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Schönefeld Airport |
E372240
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SXF
SXF was the IATA airport code for Berlin Schönefeld Airport, the former secondary international airport serving Berlin, Germany.
|
E1127672
|
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: SXF | Statement: [Berlin Schönefeld Airport, IATAcode, SXF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SXF Context triple: [Berlin Schönefeld Airport, IATAcode, SXF]
-
A.
SXF
SXF is the standard abbreviation used for the Sioux Falls Skyforce, a professional basketball team in the NBA G League.
-
B.
XSF
XSF is the nonprofit organization that develops and maintains the open XMPP communication protocols used for instant messaging and real-time communication.
-
C.
.sx
.sx is the country code top-level domain (ccTLD) assigned to Sint Maarten in the Caribbean.
-
D.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
E.
SFS
SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
- 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: SXF Triple: [Berlin Schönefeld Airport, IATAcode, SXF]
Generated description
SXF was the IATA airport code for Berlin Schönefeld Airport, the former secondary international airport serving Berlin, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SXF Target entity description: SXF was the IATA airport code for Berlin Schönefeld Airport, the former secondary international airport serving Berlin, Germany.
-
A.
SXF
SXF is the standard abbreviation used for the Sioux Falls Skyforce, a professional basketball team in the NBA G League.
-
B.
XSF
XSF is the nonprofit organization that develops and maintains the open XMPP communication protocols used for instant messaging and real-time communication.
-
C.
.sx
.sx is the country code top-level domain (ccTLD) assigned to Sint Maarten in the Caribbean.
-
D.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
E.
SFS
SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c728948190a1cfc62f4038b6ec |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe771e361481908b58eb38f804f650 |
completed | May 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe77fef3d88190afbd7839c4625226 |
completed | May 8, 2026, 11:55 p.m. |
Created at: April 10, 2026, 2:36 a.m.