Triple
T11545955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wumpa Islands |
E273775
|
entity |
| Predicate | hasInhabitant |
P6481
|
FINISHED |
| Object | Dingodile |
E912522
|
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: Dingodile | Statement: [Wumpa Islands, hasInhabitant, Dingodile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dingodile Context triple: [Wumpa Islands, hasInhabitant, Dingodile]
-
A.
Dingodile
chosen
Dingodile is a recurring Crash Bandicoot series villain, a hybrid of a dingo and a crocodile known for wielding a flamethrower and serving as a boss character.
-
B.
Gongnie
Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
-
C.
Dromi
Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
-
D.
The Dag
The Dag is one of Immortan Joe’s enslaved wives in the post-apocalyptic action film "Mad Max: Fury Road," known for her rebellious attitude and distinctive, ethereal appearance.
-
E.
Ganguise
Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e3ad548190b2c88332f5d919bd |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e82153f48190ae64146d7f28b780 |
completed | April 21, 2026, 2:59 a.m. |
Created at: April 8, 2026, 9:37 p.m.