Triple
T16011309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thumpback |
E388341
|
entity |
| Predicate | toyHasGiantBaseShape |
P82774
|
FINISHED |
| Object | circular with raised rim |
—
|
LITERAL 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: circular with raised rim | Statement: [Thumpback, toyHasGiantBaseShape, circular with raised rim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toyHasGiantBaseShape Context triple: [Thumpback, toyHasGiantBaseShape, circular with raised rim]
-
A.
toyType
Indicates the specific category or kind of toy that an item belongs to.
-
B.
hasNotableGiant
Indicates that an entity is associated with or characterized by a particularly large or prominent example of something.
-
C.
toyLine
Indicates that one entity is part of, or associated with, a particular toy product line or series.
-
D.
hasDistinctiveShape
chosen
Indicates that an entity possesses a shape or form that is notably different from others and can be easily recognized or distinguished.
-
E.
isGiantStar
Indicates that a star has an exceptionally large radius and luminosity compared to main-sequence stars, classifying it as a giant star.
- F. None of above.
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.