Triple
T721070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitan |
E14615
|
entity |
| Predicate | hasEndonym |
P1435
|
FINISHED |
| Object |
lenga d'òc
lenga d'òc is the native Occitan name for the Romance language historically spoken across southern France and parts of Italy and Spain.
|
E86999
|
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: lenga d'òc | Statement: [Occitan, hasEndonym, lenga d'òc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: lenga d'òc Context triple: [Occitan, hasEndonym, lenga d'òc]
-
A.
Dili
Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
-
B.
Langues
Langues were the regional administrative divisions of the Knights Hospitaller, grouping members by their geographic and linguistic origins.
-
C.
Ladin language
Ladin language is a Rhaeto-Romance language spoken primarily in the Dolomite mountain region of northern Italy.
-
D.
Jèrriais
Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
-
E.
Sentinelese language
The Sentinelese language is the undocumented and unclassified tongue spoken by the isolated Sentinelese people of North Sentinel Island in the Andaman archipelago.
- 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: lenga d'òc Triple: [Occitan, hasEndonym, lenga d'òc]
Generated description
lenga d'òc is the native Occitan name for the Romance language historically spoken across southern France and parts of Italy and Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: lenga d'òc Target entity description: lenga d'òc is the native Occitan name for the Romance language historically spoken across southern France and parts of Italy and Spain.
-
A.
Dili
Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
-
B.
Langues
Langues were the regional administrative divisions of the Knights Hospitaller, grouping members by their geographic and linguistic origins.
-
C.
Ladin language
Ladin language is a Rhaeto-Romance language spoken primarily in the Dolomite mountain region of northern Italy.
-
D.
Jèrriais
Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
-
E.
Sentinelese language
The Sentinelese language is the undocumented and unclassified tongue spoken by the isolated Sentinelese people of North Sentinel Island in the Andaman archipelago.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58fa41c819082de2cc4e0cb2943 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a63759d6108190adcdeac45e4c7766 |
completed | March 3, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69a63b158dc881909da0b90f498e9a43 |
completed | March 3, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a63eccc5a08190b39b7818dc61591c |
completed | March 3, 2026, 1:52 a.m. |
Created at: March 1, 2026, 7:37 p.m.