Triple
T13120098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water Land |
E311697
|
entity |
| Predicate | hasNotableEnemy |
P26163
|
FINISHED |
| Object | Lakitu |
E311692
|
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: Lakitu | Statement: [Water Land, hasNotableEnemy, Lakitu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakitu Context triple: [Water Land, hasNotableEnemy, Lakitu]
-
A.
Lakitu
chosen
Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
-
B.
Lakalai
Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
-
C.
Lahmu
Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
-
D.
Niulakita
Niulakita is the southernmost island of Tuvalu, known as a small, remote coral atoll with a tiny population and traditional significance for Tuvaluan people.
-
E.
Yulu
Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadcd7048190aa740262679e5bab |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:06 p.m.