Triple
T5080427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Link |
E114496
|
entity |
| Predicate | protects |
P1040
|
FINISHED |
| Object | Hyrule |
E491829
|
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: Hyrule | Statement: [Link, protects, Hyrule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyrule Context triple: [Link, protects, Hyrule]
-
A.
Hyrule
chosen
Hyrule is a recurring fictional kingdom in Nintendo’s The Legend of Zelda series, known for its fantasy landscapes, ancient legends, and central role in the adventures of Link and Princess Zelda.
-
B.
Mushroom Kingdom
Mushroom Kingdom is a whimsical, colorful fantasy realm in the Super Mario franchise, home to characters like Princess Peach, Toads, and various iconic enemies.
-
C.
Krondon
Krondon is an American rapper and actor best known as a member of the hip hop group Strong Arm Steady and for voicing Tombstone in the animated series "The Spectacular Spider-Man."
-
D.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
E.
Cyndia
Cyndia is an alternative given name or spelling derived from the name Cynthia.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f86c988190aa026073ed435a45 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba6f3eb48190b544bf743829cb0c |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:39 p.m.