Triple
T5526267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Reculet |
E144928
|
entity |
| Predicate | accessibleFrom |
P1985
|
FINISHED |
| Object | Lélex |
E530155
|
NE FINISHED |
How this triple was built (2 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: [Le Reculet, accessibleFrom, Lélex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lélex Context triple: [Le Reculet, accessibleFrom, Lélex]
-
A.
Lélex
chosen
Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
-
B.
Loëx
Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
C.
Xandre
Xandre is a shortened, informal given name derived from Alexandre, commonly used as a nickname or variant.
-
D.
Ledaal
Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
-
E.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c04cd6ce3c8190ac5ef4c216190266 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:34 p.m.