Triple
T17286675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flowery Field railway station |
E419671
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
FLF
FLF is the National Rail station code for Flowery Field railway station in Greater Manchester, England.
|
E1260605
|
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: FLF | Statement: [Flowery Field railway station, hasStationCode, FLF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FLF Context triple: [Flowery Field railway station, hasStationCode, FLF]
-
A.
LFLC
LFLC is the ICAO airport code for Clermont-Ferrand Auvergne Airport in central France.
-
B.
LFLI
LFLI is the ICAO airport code for Annemasse Aerodrome, a small regional airfield serving the Annemasse area in southeastern France near the Swiss border.
-
C.
LFLS
LFLS is the ICAO airport code for Grenoble Alpes–Isère Airport, a regional airport serving the Grenoble area in southeastern France.
-
D.
LFA
LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
-
E.
FLN
FLN is an Algerian nationalist political organization and former revolutionary movement that led the struggle for Algeria’s independence from French colonial rule.
- 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: FLF Triple: [Flowery Field railway station, hasStationCode, FLF]
Generated description
FLF is the National Rail station code for Flowery Field railway station in Greater Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FLF Target entity description: FLF is the National Rail station code for Flowery Field railway station in Greater Manchester, England.
-
A.
LFLC
LFLC is the ICAO airport code for Clermont-Ferrand Auvergne Airport in central France.
-
B.
LFLI
LFLI is the ICAO airport code for Annemasse Aerodrome, a small regional airfield serving the Annemasse area in southeastern France near the Swiss border.
-
C.
LFLS
LFLS is the ICAO airport code for Grenoble Alpes–Isère Airport, a regional airport serving the Grenoble area in southeastern France.
-
D.
LFA
LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
-
E.
FLN
FLN is an Algerian nationalist political organization and former revolutionary movement that led the struggle for Algeria’s independence from French colonial rule.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4378024988190aac6aec006f8f7a1 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017955448481909c2464a14c2a9799 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a017a193f6881908f39596cb235111f |
completed | May 11, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017b5045d08190b7c7409960f1438c |
completed | May 11, 2026, 6:46 a.m. |
Created at: April 10, 2026, 5:40 a.m.