Triple
T20101086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Lille Metro) |
E496538
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Eurotéléport
Eurotéléport is a major underground metro station and transport hub in Roubaix, France, on the Lille Metro network.
|
E1411685
|
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: Eurotéléport | Statement: [Line 2 (Lille Metro), hasStation, Eurotéléport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eurotéléport Context triple: [Line 2 (Lille Metro), hasStation, Eurotéléport]
-
A.
Fantasio
Fantasio was a Danish magazine known for publishing illustrations and artworks, including those by artist Gerda Wegener.
-
B.
Damour
Damour is a coastal town in Lebanon, historically notable as the site of the Battle of Damour during the Lebanese Civil War.
-
C.
Télépéage
Télépéage is France’s electronic toll collection system that allows drivers to pass through motorway tolls without stopping by using a transponder linked to their account.
-
D.
Phantasos
Phantasos is a figure from Greek mythology, one of the dream deities associated with unreal or fantastical dream images.
-
E.
Warp Gate
Warp Gate is a Protoss structure in the StarCraft series that enables the rapid warping-in of ground units directly onto the battlefield.
- 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: Eurotéléport Triple: [Line 2 (Lille Metro), hasStation, Eurotéléport]
Generated description
Eurotéléport is a major underground metro station and transport hub in Roubaix, France, on the Lille Metro network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eurotéléport Target entity description: Eurotéléport is a major underground metro station and transport hub in Roubaix, France, on the Lille Metro network.
-
A.
Fantasio
Fantasio was a Danish magazine known for publishing illustrations and artworks, including those by artist Gerda Wegener.
-
B.
Damour
Damour is a coastal town in Lebanon, historically notable as the site of the Battle of Damour during the Lebanese Civil War.
-
C.
Télépéage
Télépéage is France’s electronic toll collection system that allows drivers to pass through motorway tolls without stopping by using a transponder linked to their account.
-
D.
Phantasos
Phantasos is a figure from Greek mythology, one of the dream deities associated with unreal or fantastical dream images.
-
E.
Warp Gate
Warp Gate is a Protoss structure in the StarCraft series that enables the rapid warping-in of ground units directly onto the battlefield.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666ff4008190ae1eec907c89bd3b |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0827109f0081909747fb28dc439f77 |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0829a3a35881909505c9927563e646 |
completed | May 16, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082a26bff48190ab78612dfebc99d9 |
completed | May 16, 2026, 8:26 a.m. |
Created at: April 11, 2026, 11:26 p.m.