Triple
T1028662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuchâtel |
E22197
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
|
E189917
|
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: Chasseral | Statement: [Neuchâtel, highestPoint, Chasseral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chasseral Context triple: [Neuchâtel, highestPoint, Chasseral]
-
A.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
B.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
C.
Satigny
Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
-
D.
Valdigne
Valdigne is an alpine valley in Italy’s Aosta Valley region, known as the upper Dora Baltea basin and including renowned mountain resorts such as Courmayeur.
-
E.
Bardonnex
Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
- 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: Chasseral Triple: [Neuchâtel, highestPoint, Chasseral]
Generated description
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chasseral Target entity description: Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
-
A.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
B.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
C.
Satigny
Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
-
D.
Valdigne
Valdigne is an alpine valley in Italy’s Aosta Valley region, known as the upper Dora Baltea basin and including renowned mountain resorts such as Courmayeur.
-
E.
Bardonnex
Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f84c888190b5b9e44c7edb508f |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad718263f08190b0f03d583abdad10 |
completed | March 8, 2026, 12:54 p.m. |
| NEDg | Description generation | batch_69ad727514c88190bd558a7b8b8ef999 |
completed | March 8, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad72c405b081909bff8bf621e9baec |
completed | March 8, 2026, 12:59 p.m. |
Created at: March 1, 2026, 7:41 p.m.