Triple
T16215788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aventine Triad |
E393588
|
entity |
| Predicate | associatedFestival |
P3113
|
FINISHED |
| Object | Liberalia |
E399929
|
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: Liberalia | Statement: [Aventine Triad, associatedFestival, Liberalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liberalia Context triple: [Aventine Triad, associatedFestival, Liberalia]
-
A.
Liberalia
chosen
Liberalia was an ancient Roman religious festival held in honor of the god Liber, associated with fertility, wine, and the coming-of-age of young men.
-
B.
Westlandia
Westlandia is a Dutch sports club based in Naaldwijk, best known for its amateur football teams competing in regional and national leagues.
-
C.
La Rossa
La Rossa is a well-known nickname for the Italian city of Bologna, reflecting its distinctive red-hued architecture and historical left-wing political leanings.
-
D.
Unión
Unión is an Argentine sports club best known for its professional football team based in Santa Fe.
-
E.
Wallesau
Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f4685c8190aa1e9304e4a62d13 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000794e6c881909c4521e4dd031971 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.