Triple
T21549602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sa Sartiglia |
E531725
|
entity |
| Predicate | hasCulturalContext |
P1439
|
FINISHED |
| Object | Carnival |
—
|
NE NERFINISHED |
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: Carnival | Statement: [Sa Sartiglia, hasCulturalContext, Carnival]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carnival Context triple: [Sa Sartiglia, hasCulturalContext, Carnival]
-
A.
Carnival
chosen
Carnival is a vibrant annual festival, especially prominent in Afro-Caribbean cultures, featuring parades, music, dance, and elaborate costumes that celebrate cultural identity and community.
-
B.
Carnival
"Carnival" is a studio album by Australian country singer-songwriter Kasey Chambers, showcasing her blend of country, folk, and roots music.
-
C.
Carnaval
"Carnaval" is a jazz fusion album by saxophonist Jay Beckenstein, best known as the leader of the band Spyro Gyra.
-
D.
Carnaval
"Carnaval" is a vibrant reggaeton-pop song by Colombian singer Maluma that celebrates joy, freedom, and living life like a nonstop party.
-
E.
Carnaval
"Carnaval" is a notable work by Brazilian poet Manuel Bandeira, reflecting his modernist style and lyrical exploration of Brazilian life and culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb5917fb88190a8d37831cced75dc |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.