Triple
T15901920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candelaria Sambal |
E385608
|
entity |
| Predicate | usedInLocalCulture |
P7826
|
FINISHED |
| Object | oral tradition in Candelaria |
—
|
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: oral tradition in Candelaria | Statement: [Candelaria Sambal, usedInLocalCulture, oral tradition in Candelaria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInLocalCulture Context triple: [Candelaria Sambal, usedInLocalCulture, oral tradition in Candelaria]
-
A.
usedInCulture
chosen
Indicates that something (such as an object, practice, or concept) is employed, referenced, or plays a role within a particular culture or cultural context.
-
B.
basedInCulture
Indicates that an entity is situated within, originates from, or is fundamentally associated with a particular culture.
-
C.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
-
D.
originatedInCulturalContext
Indicates that something began, developed, or was created within a particular cultural setting, tradition, or milieu.
-
E.
languageUsedInLocality
Indicates that a particular language is used or spoken within a specific locality or geographic area.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.