Triple
T38260891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Play (Poland) |
E1017924
|
entity |
| Predicate | customerBaseSize |
P22398
|
FINISHED |
| Object | millions of customers |
—
|
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: millions of customers | Statement: [Play (Poland), customerBaseSize, millions of customers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customerBaseSize Context triple: [Play (Poland), customerBaseSize, millions of customers]
-
A.
exportCustomersCountEstimate
Indicates an estimated number of customers included in an export operation.
-
B.
staffSize
Indicates the number of staff members associated with an entity.
-
C.
userCount
chosen
Indicates the number of users associated with or involved in a given context or entity.
-
D.
estimatedMemberCount
Indicates the approximate or predicted number of members associated with an entity.
-
E.
collectionSize
Indicates the total number of items contained within a specified collection.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.