Triple
T20175422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Eaton railway station |
E492078
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LGE
LGE is the National Rail station code for Long Eaton railway station in Derbyshire, England.
|
E1416624
|
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: LGE | Statement: [Long Eaton railway station, hasStationCode, LGE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LGE Context triple: [Long Eaton railway station, hasStationCode, LGE]
-
A.
LG
LG is the standard abbreviation for *Lumen Gentium*, the Second Vatican Council’s Dogmatic Constitution on the Church, which outlines Catholic teaching on the nature and mission of the Church.
-
B.
LG
LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
-
C.
LG
LG is an abbreviation commonly used to refer to the Local Group, the galaxy group that includes the Milky Way, Andromeda, and numerous smaller galaxies.
-
D.
LG
LG is the vehicle registration code used on license plates for the Province of Liège in Belgium.
-
E.
LG Electronics
LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
- 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: LGE Triple: [Long Eaton railway station, hasStationCode, LGE]
Generated description
LGE is the National Rail station code for Long Eaton railway station in Derbyshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LGE Target entity description: LGE is the National Rail station code for Long Eaton railway station in Derbyshire, England.
-
A.
LG
LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
-
B.
LG
LG is an abbreviation commonly used to refer to the Local Group, the galaxy group that includes the Milky Way, Andromeda, and numerous smaller galaxies.
-
C.
LG
LG is the standard abbreviation for *Lumen Gentium*, the Second Vatican Council’s Dogmatic Constitution on the Church, which outlines Catholic teaching on the nature and mission of the Church.
-
D.
LG
LG is the vehicle registration code used on license plates for the Province of Liège in Belgium.
-
E.
LG Electronics
LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668eaa3b88190bef4f2db0125fdfc |
completed | April 20, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c77d38c8190929be133825ed8e7 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d86085c8190a71d0dce65c659a4 |
completed | May 16, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083eb380f48190bda8549d122f830b |
completed | May 16, 2026, 9:53 a.m. |
Created at: April 11, 2026, 11:36 p.m.