Triple
T20189854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hylians |
E492954
|
entity |
| Predicate | associatedDeity |
P1481
|
FINISHED |
| Object | Farore |
—
|
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: Farore | Statement: [Hylians, associatedDeity, Farore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farore Context triple: [Hylians, associatedDeity, Farore]
-
A.
Farore
chosen
Farore is the goddess of courage and life in The Legend of Zelda series, known as one of the three Golden Goddesses who created the world of Hyrule.
-
B.
Biggoron
Biggoron is a gigantic Goron blacksmith from The Legend of Zelda series, best known for forging the powerful Biggoron’s Sword.
-
C.
Pelopia
Pelopia is a figure in Greek mythology, known as the daughter of Thyestes and the mother of Aegisthus in the tragic saga of the House of Atreus.
-
D.
Piraka
Piraka are a group of villainous, mutated Skakdi characters from the Lego Bionicle universe known for their treachery and distinctive spined, toothy appearance.
-
E.
Rongo
Rongo is a major Polynesian deity commonly associated with cultivated food, especially sweet potatoes, as well as peace and agriculture.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad4d7a88190b70dfb74a2daafba |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.