Triple
T4544366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Egg |
E110011
|
entity |
| Predicate | maximumCapacityEvents |
P13466
|
FINISHED |
| Object | around 55000 |
—
|
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: around 55000 | Statement: [Big Egg, maximumCapacityEvents, around 55000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumCapacityEvents Context triple: [Big Egg, maximumCapacityEvents, around 55000]
-
A.
maximumCapacity
Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
-
B.
numberOfEvents
Indicates the quantity or count of events associated with a given entity or context.
-
C.
totalCapacity
chosen
Indicates the maximum amount or volume that something can hold or accommodate in total.
-
D.
maximumDischarge
Indicates the greatest allowable or observed rate at which something can be discharged or released from a source.
-
E.
laterCapacity
Indicates that one entity’s capacity or capability occurs, becomes available, or is realized at a later time than another’s.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d517e881909c3d23ed4453b0a7 |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:05 p.m.