Triple
T20101076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Lille Metro) |
E496538
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Mons Sarts
Mons Sarts is a metro station in Lille, France, serving the city's automated Line 2 transit route.
|
E1411677
|
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: Mons Sarts | Statement: [Line 2 (Lille Metro), hasStation, Mons Sarts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mons Sarts Context triple: [Line 2 (Lille Metro), hasStation, Mons Sarts]
-
A.
Uranius Mons
Uranius Mons is a large volcanic mountain on Mars, located in the Tharsis region and associated with the planet’s extensive volcanic plateau.
-
B.
Alba Mons
Alba Mons is a vast, low-relief shield volcano on Mars, notable for being one of the largest volcanic edifices in the Solar System by area.
-
C.
Ahuna Mons
Ahuna Mons is a prominent solitary mountain on the dwarf planet Ceres, notable for its steep slopes, bright salty deposits, and likely cryovolcanic origin.
-
D.
Libya Montes
Libya Montes is a rugged mountainous region on Mars located along the southeastern rim of the Isidis impact basin.
-
E.
Herkus Monte
Herkus Monte was a 13th-century Prussian noble and military leader who led the Natangian and broader Prussian resistance against the Teutonic Order during the Prussian uprisings.
- 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: Mons Sarts Triple: [Line 2 (Lille Metro), hasStation, Mons Sarts]
Generated description
Mons Sarts is a metro station in Lille, France, serving the city's automated Line 2 transit route.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mons Sarts Target entity description: Mons Sarts is a metro station in Lille, France, serving the city's automated Line 2 transit route.
-
A.
Uranius Mons
Uranius Mons is a large volcanic mountain on Mars, located in the Tharsis region and associated with the planet’s extensive volcanic plateau.
-
B.
Alba Mons
Alba Mons is a vast, low-relief shield volcano on Mars, notable for being one of the largest volcanic edifices in the Solar System by area.
-
C.
Ahuna Mons
Ahuna Mons is a prominent solitary mountain on the dwarf planet Ceres, notable for its steep slopes, bright salty deposits, and likely cryovolcanic origin.
-
D.
Libya Montes
Libya Montes is a rugged mountainous region on Mars located along the southeastern rim of the Isidis impact basin.
-
E.
Herkus Monte
Herkus Monte was a 13th-century Prussian noble and military leader who led the Natangian and broader Prussian resistance against the Teutonic Order during the Prussian uprisings.
- 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.