Triple
T8011730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Fowlmere |
E186508
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
FWE
FWE is the station code for RAF Fowlmere, a former Royal Air Force airfield in Cambridgeshire, England that was active during both World Wars.
|
E707406
|
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: FWE | Statement: [RAF Fowlmere, hasStationCode, FWE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FWE Context triple: [RAF Fowlmere, hasStationCode, FWE]
-
A.
FW
FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
-
B.
FW
FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
-
C.
FLE
FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
-
D.
FBBE
FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
-
E.
FWA
FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
- 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: FWE Triple: [RAF Fowlmere, hasStationCode, FWE]
Generated description
FWE is the station code for RAF Fowlmere, a former Royal Air Force airfield in Cambridgeshire, England that was active during both World Wars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FWE Target entity description: FWE is the station code for RAF Fowlmere, a former Royal Air Force airfield in Cambridgeshire, England that was active during both World Wars.
-
A.
FW
FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
-
B.
FW
FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
-
C.
FLE
FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
-
D.
FBBE
FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
-
E.
FWA
FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d722fbc8190b22745b581421f16 |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56acfcf88190a0e694f60f2907d2 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58a9e94081908980e2c60be38642 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cb791b48190bd5004b518d23f84 |
completed | March 31, 2026, 11:45 p.m. |
Created at: March 30, 2026, 5:19 p.m.