Triple
T20315762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huntley & Palmers biscuit tins |
E510374
|
entity |
| Predicate | shapeVariety |
P88640
|
FINISHED |
| Object | rectangular tins |
—
|
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: rectangular tins | Statement: [Huntley & Palmers biscuit tins, shapeVariety, rectangular tins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeVariety Context triple: [Huntley & Palmers biscuit tins, shapeVariety, rectangular tins]
-
A.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
B.
hasVarietyOf
chosen
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
C.
varietyOf
Indicates that one entity is a specific type, kind, or variant of another, more general entity.
-
D.
styleVariants
Indicates that an entity has alternative stylistic forms or versions related to it.
-
E.
variantCount
Indicates the number of distinct variants associated with a given entity or item.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67787af188190bc32a3049c9c5b39 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:19 a.m.