Triple
T1979735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STP-2 |
E42996
|
entity |
| Predicate | payloadCount |
P35732
|
FINISHED |
| Object | about 24 payloads |
—
|
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: about 24 payloads | Statement: [STP-2, payloadCount, about 24 payloads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: payloadCount Context triple: [STP-2, payloadCount, about 24 payloads]
-
A.
transactionCount
Indicates the number of transactions that have occurred involving the specified entity or between the related entities.
-
B.
totalRecipients
Indicates the total number of distinct entities that receive something in the context of the described relationship or action.
-
C.
parameterCount
Indicates the number of parameters associated with a given function, method, or callable entity.
-
D.
bookmarkCount
Indicates the number of times an item has been bookmarked by users.
-
E.
passengerCount
Indicates the number of passengers associated with a given entity, such as a vehicle or trip.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb96e07c08190beed60096e9d71b4 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:36 p.m.