Triple
T11170462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comarca of La Maragatería |
E264259
|
entity |
| Predicate | traditionalDemonym |
P191
|
FINISHED |
| Object | maragatos |
—
|
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: maragatos | Statement: [Comarca of La Maragatería, traditionalDemonym, maragatos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalDemonym Context triple: [Comarca of La Maragatería, traditionalDemonym, maragatos]
-
A.
relatedDemonym
Indicates that one entity is the demonym (name for residents or natives) associated with the other entity.
-
B.
hasDemonym
chosen
Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
-
C.
ethnicEponymOf
Indicates that one term is an eponym derived from or naming an ethnic group or people.
-
D.
ethnonym
Indicates that one entity is the name of an ethnic group used to refer to the people associated with another entity.
-
E.
traditionalLanguageName
Indicates the name traditionally used in a particular language to refer to the subject entity.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.