Triple
T1123775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léman Express |
E24670
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LEX
LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
|
E127787
|
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: LEX | Statement: [Léman Express, hasAbbreviation, LEX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEX Context triple: [Léman Express, hasAbbreviation, LEX]
-
A.
Lex
Lex is a common shortened form of the given name Alexander, often used as a modern, informal nickname.
-
B.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
C.
LC
LC is the two-letter ISO 3166-1 alpha-2 country code assigned to Saint Lucia.
-
D.
LC
LC is the second-generation Holden Torana series produced in the late 1960s and early 1970s, notable for introducing six-cylinder performance variants in the compact Australian car lineup.
-
E.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
- 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: LEX Triple: [Léman Express, hasAbbreviation, LEX]
Generated description
LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEX Target entity description: LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
-
A.
Lex
Lex is a common shortened form of the given name Alexander, often used as a modern, informal nickname.
-
B.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
C.
LC
LC is the two-letter ISO 3166-1 alpha-2 country code assigned to Saint Lucia.
-
D.
LC
LC is the second-generation Holden Torana series produced in the late 1960s and early 1970s, notable for introducing six-cylinder performance variants in the compact Australian car lineup.
-
E.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbc09e708190b099d436d1f737eb |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac539d51848190a9eb9ddaa7e4c6a8 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac54426e3c8190af166a54af44e210 |
completed | March 7, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac54bb7b148190ba1c8ab2202cf429 |
completed | March 7, 2026, 4:39 p.m. |
Created at: March 1, 2026, 7:44 p.m.