Triple
T19025374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firozpur railway division |
E465595
|
entity |
| Predicate | railwayCode |
P18202
|
FINISHED |
| Object |
FZR
FZR is the station and division code used by Indian Railways for the Firozpur railway division in the Northern Railway zone.
|
E1354422
|
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: FZR | Statement: [Firozpur railway division, railwayCode, FZR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FZR Context triple: [Firozpur railway division, railwayCode, FZR]
-
A.
FJR
FJR is the IATA airport code for Fujairah International Airport in the United Arab Emirates.
-
B.
Yamaha FZ series
The Yamaha FZ series is a popular line of sporty standard motorcycles known for their agile handling, aggressive styling, and strong performance in the middleweight segment.
-
C.
FZ
FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
-
D.
FZ
FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
-
E.
Kawasaki Z series
The Kawasaki Z series is a line of high-performance naked and sport motorcycles known for their aggressive styling and powerful engines.
- 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: FZR Triple: [Firozpur railway division, railwayCode, FZR]
Generated description
FZR is the station and division code used by Indian Railways for the Firozpur railway division in the Northern Railway zone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FZR Target entity description: FZR is the station and division code used by Indian Railways for the Firozpur railway division in the Northern Railway zone.
-
A.
FJR
FJR is the IATA airport code for Fujairah International Airport in the United Arab Emirates.
-
B.
Yamaha FZ series
The Yamaha FZ series is a popular line of sporty standard motorcycles known for their agile handling, aggressive styling, and strong performance in the middleweight segment.
-
C.
FZ
FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
-
D.
FZ
FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
-
E.
Kawasaki Z series
The Kawasaki Z series is a line of high-performance naked and sport motorcycles known for their aggressive styling and powerful engines.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6e271848190b67ad08af35b6796 |
completed | April 20, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be56412081909ff1053248e7145a |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bfc05b70819081466bad1b6fdda1 |
completed | May 14, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c0283b08819089ad422861efbcbb |
completed | May 14, 2026, 12:29 p.m. |
Created at: April 10, 2026, 12:02 p.m.