Triple
T25741625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FMA3 |
E648231
|
entity |
| Predicate | operationCount |
P19112
|
FINISHED |
| Object | 3-operand form |
—
|
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: 3-operand form | Statement: [FMA3, operationCount, 3-operand form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationCount Context triple: [FMA3, operationCount, 3-operand form]
-
A.
transactionCount
Indicates the number of transactions that have occurred involving the specified entity or between the related entities.
-
B.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
numberOperational
Indicates that an entity is currently functioning and available for use in its intended operational capacity.
-
D.
movementCount
Indicates the number of times a movement or relocation action has occurred between the related entities.
-
E.
numberOfExecutions
chosen
Indicates the count of times a particular action, process, or event has been carried out.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 22, 2026, 3:45 a.m.