Triple
T4301308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grotte de Dargilan |
E99841
|
entity |
| Predicate | languageOfGuidedTours |
P48682
|
FINISHED |
| Object | French |
—
|
LITERAL 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: French | Statement: [Grotte de Dargilan, languageOfGuidedTours, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfGuidedTours Context triple: [Grotte de Dargilan, languageOfGuidedTours, French]
-
A.
languageOfOfficialGuides
Indicates the language in which official guides or instructional materials are provided or published.
-
B.
languageUsedInTourism
chosen
Indicates that a particular language is used for communication and services within tourism activities or contexts.
-
C.
presentedInLanguage
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
D.
inGuidebook
Indicates that something is included or featured as an entry within a guidebook.
-
E.
hasGuidebook
Indicates that an entity possesses, is associated with, or is provided with a guidebook.
- F. None of above.
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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509fb2b88190a13ab88a5b924052 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.