Triple
T19974739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squirtle |
E493660
|
entity |
| Predicate | memberOfGroup |
P12263
|
FINISHED |
| Object | Squirtle Squad |
—
|
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: Squirtle Squad | Statement: [Squirtle, memberOfGroup, Squirtle Squad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Squirtle Squad Context triple: [Squirtle, memberOfGroup, Squirtle Squad]
-
A.
Pichu Pichu
Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
-
B.
Pokémon Ranger
Pokémon Ranger is an action-adventure spin-off video game series in which players control Pokémon Rangers who use a special device to befriend and assist Pokémon rather than capturing them in traditional Poké Balls.
-
C.
Yorgle
Yorgle is a dragon-like enemy character from the classic Atari 2600 game Adventure, known for guarding important items and threatening the player.
-
D.
Dododonpa
Dododonpa is a high-speed roller coaster in Japan renowned for its explosive acceleration and intense ride experience.
-
E.
Squirtle
chosen
Squirtle is a small, blue, turtle-like Water-type Pokémon known for withdrawing into its shell and attacking with powerful water-based moves.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcca5088190b523584d11799400 |
completed | April 20, 2026, 5:01 p.m. |
Created at: April 11, 2026, 3:24 p.m.