Triple
T27131631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarter Pounder |
E681575
|
entity |
| Predicate | pattyCount |
P162508
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Quarter Pounder, pattyCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pattyCount Context triple: [Quarter Pounder, pattyCount, 1]
-
A.
padsCount
Indicates the number of pads associated with or allocated to a given entity or context.
-
B.
estimatedNumberOfPiesUsed
Indicates the approximate quantity of pies that were used in a particular context, event, or process.
-
C.
pillarNumber
Indicates the specific numerical identifier assigned to a particular pillar within a set or structure.
-
D.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
-
E.
numberOfPlates
Indicates the quantity of plates associated with or involved in a particular entity, event, or context.
- F. None of above. chosen
Provenance (4 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_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f625402d808190be8279d895d2b27f |
completed | May 2, 2026, 4:24 p.m. |
Created at: April 27, 2026, 9:04 a.m.