Triple
T27131620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarter Pounder |
E681575
|
entity |
| Predicate | bunType |
P135826
|
FINISHED |
| Object | sesame seed bun |
—
|
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: sesame seed bun | Statement: [Quarter Pounder, bunType, sesame seed bun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bunType Context triple: [Quarter Pounder, bunType, sesame seed bun]
-
A.
typicalBunType
chosen
Indicates the type of bun that is most commonly or characteristically used with a given item (such as a sandwich or burger).
-
B.
boutType
Indicates the specific category or format of a competitive bout (such as its ruleset, level, or style) that characterizes how the contest is conducted.
-
C.
gutType
Indicates the type or classification of a digestive tract or gut associated with an entity.
-
D.
nutType
Indicates the specific kind or category of nut associated with an entity.
-
E.
gulType
Indicates the specific kind or category of a gul (as defined in the given context) that an entity belongs to.
- 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_69f6247832a48190b820e8c0c22ff5db |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:04 a.m.