Triple
T27131388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Meal |
E681570
|
entity |
| Predicate | hasReformulation |
P39046
|
FINISHED |
| Object | reduced portion sizes in some markets |
—
|
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: reduced portion sizes in some markets | Statement: [Happy Meal, hasReformulation, reduced portion sizes in some markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReformulation Context triple: [Happy Meal, hasReformulation, reduced portion sizes in some markets]
-
A.
hasFormulation
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
B.
hasReformedForm
chosen
Indicates that an entity has a later, modified, or updated form that results from a process of reform or restructuring.
-
C.
hasEquivalentFormulation
Indicates that two representations, statements, or formulations express the same underlying meaning, condition, or effect, even if they differ in form.
-
D.
hasReformInstrument
Indicates that a reform, change, or improvement process is carried out or supported through a specific instrument, tool, or mechanism.
-
E.
mathematicallyReformulatedBy
Indicates that one entity has been expressed again in a different or more formal mathematical form by another entity.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 27, 2026, 9:04 a.m.