Triple
T13252800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulwell railway station |
E315576
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
FLW
FLW is the National Rail station code for Fulwell railway station in London, England.
|
E1031048
|
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: FLW | Statement: [Fulwell railway station, stationCode, FLW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FLW Context triple: [Fulwell railway station, stationCode, FLW]
-
A.
FLW
FLW is the common abbreviation for Fort Leonard Wood, a major U.S. Army training installation located in Missouri.
-
B.
FLW
FLW is the three-letter IATA airport code for Flores Airport, which serves Flores Island in Portugal’s Azores archipelago.
-
C.
Offshore Angler
Offshore Angler is a Bass Pro Shops private-label brand specializing in saltwater fishing gear, tackle, and apparel.
-
D.
Fishing Derby
Fishing Derby is an early Atari 2600 video game designed by David Crane in which two players compete to catch fish while avoiding sharks.
-
E.
White Marlin Open fishing tournament
The White Marlin Open fishing tournament is one of the world’s largest and most prestigious billfish tournaments, drawing thousands of anglers and spectators each year to Ocean City, Maryland.
- 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: FLW Triple: [Fulwell railway station, stationCode, FLW]
Generated description
FLW is the National Rail station code for Fulwell railway station in London, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FLW Target entity description: FLW is the National Rail station code for Fulwell railway station in London, England.
-
A.
FLW
FLW is the common abbreviation for Fort Leonard Wood, a major U.S. Army training installation located in Missouri.
-
B.
FLW
FLW is the three-letter IATA airport code for Flores Airport, which serves Flores Island in Portugal’s Azores archipelago.
-
C.
Offshore Angler
Offshore Angler is a Bass Pro Shops private-label brand specializing in saltwater fishing gear, tackle, and apparel.
-
D.
Fishing Derby
Fishing Derby is an early Atari 2600 video game designed by David Crane in which two players compete to catch fish while avoiding sharks.
-
E.
White Marlin Open fishing tournament
The White Marlin Open fishing tournament is one of the world’s largest and most prestigious billfish tournaments, drawing thousands of anglers and spectators each year to Ocean City, Maryland.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f73423c8190932a9edac56df383 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a3b8ca48190863aff25f12d0e7e |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b37ebe081909ed2ae0f42ccad2d |
completed | May 3, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ca343f08190b6484f464ed40810 |
completed | May 3, 2026, 8:51 a.m. |
Created at: April 9, 2026, 9:24 p.m.