Triple
T17194740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uacilla festival |
E417318
|
entity |
| Predicate | honorsDeity |
P5606
|
FINISHED |
| Object | Uacilla |
E417315
|
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: Uacilla | Statement: [Uacilla festival, honorsDeity, Uacilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uacilla Context triple: [Uacilla festival, honorsDeity, Uacilla]
-
A.
Uacilla
chosen
Uacilla is a prominent deity in Ossetian folk religion, often associated with thunder, weather, and protection.
-
B.
Guatraché
Guatraché is a town in Argentina known for its significant German Argentine community and cultural heritage.
-
C.
Uribia
Uribia is a municipality in northern Colombia known as the “Indigenous Capital of Colombia” for its large Wayuu population and its location in the arid La Guajira Peninsula.
-
D.
Cisarua
Cisarua is a highland district in West Java, Indonesia, known for its cool climate, tea plantations, and popular mountain resorts.
-
E.
Devesas
Devesas is a railway station in Vila Nova de Gaia, Portugal, serving as a key suburban and regional rail hub for the Porto metropolitan area.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42da9e6208190b5c4e5925e840217 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd5f834819080ad2a2ffdc017b6 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.