Triple
T21317086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renens railway station |
E525498
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Bercher
Bercher is a small municipality in the canton of Vaud in western Switzerland.
|
E1477780
|
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: Bercher | Statement: [Renens railway station, connectsTo, Bercher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bercher Context triple: [Renens railway station, connectsTo, Bercher]
-
A.
Mainbocher
Mainbocher was an influential American couturier known for his elegant, custom-made designs and for dressing prominent socialites and royalty in the mid-20th century.
-
B.
Obergurig
Obergurig is a small municipality in the Upper Lusatia region of Saxony in eastern Germany.
-
C.
Lacroix
Lacroix is a French surname borne by various notable individuals across fields such as sports, fashion, and the arts.
-
D.
Delamotte
Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
-
E.
Petit & Fritsen
Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
- 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: Bercher Triple: [Renens railway station, connectsTo, Bercher]
Generated description
Bercher is a small municipality in the canton of Vaud in western Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bercher Target entity description: Bercher is a small municipality in the canton of Vaud in western Switzerland.
-
A.
Mainbocher
Mainbocher was an influential American couturier known for his elegant, custom-made designs and for dressing prominent socialites and royalty in the mid-20th century.
-
B.
Obergurig
Obergurig is a small municipality in the Upper Lusatia region of Saxony in eastern Germany.
-
C.
Lacroix
Lacroix is a French surname borne by various notable individuals across fields such as sports, fashion, and the arts.
-
D.
Delamotte
Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
-
E.
Petit & Fritsen
Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dd0b34481909dd6d37cf8e42144 |
completed | April 21, 2026, 11:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099edd7aec8190911c1c2b7f8a2232 |
completed | May 17, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_6a099f7804c48190b3b70dc7b16c991d |
completed | May 17, 2026, 10:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a06ea2fc8190b1b7cc0e6574f574 |
completed | May 17, 2026, 11:03 a.m. |
Created at: April 16, 2026, 4:34 p.m.