Triple
T5526223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crêt de la Neige |
E144927
|
entity |
| Predicate | accessibleFrom |
P1985
|
FINISHED |
| Object |
Lélex
Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
|
E530155
|
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: Lélex | Statement: [Crêt de la Neige, accessibleFrom, Lélex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lélex Context triple: [Crêt de la Neige, accessibleFrom, Lélex]
-
A.
Loëx
Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
B.
Xandre
Xandre is a shortened, informal given name derived from Alexandre, commonly used as a nickname or variant.
-
C.
Ledaal
Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Leova
Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
- 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: Lélex Triple: [Crêt de la Neige, accessibleFrom, Lélex]
Generated description
Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lélex Target entity description: Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
-
A.
Loëx
Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
B.
Xandre
Xandre is a shortened, informal given name derived from Alexandre, commonly used as a nickname or variant.
-
C.
Ledaal
Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Leova
Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f89112c8190b276317fcc2acce0 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027fa22108190b55c07fe930ca4f1 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c040a395488190bea2fd651c3aeef7 |
completed | March 22, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04141ea408190aba1463d56ad6b7d |
completed | March 22, 2026, 7:21 p.m. |
Created at: March 22, 2026, 3:34 p.m.