Triple
T13498394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACS-64 |
E320818
|
entity |
| Predicate | orderQuantityForSEPTA |
P41646
|
FINISHED |
| Object | 15 units |
—
|
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: 15 units | Statement: [ACS-64, orderQuantityForSEPTA, 15 units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderQuantityForSEPTA Context triple: [ACS-64, orderQuantityForSEPTA, 15 units]
-
A.
orderQuantity
chosen
Indicates the specific amount or number of items requested or scheduled in an order transaction.
-
B.
numberOfOrders
Indicates the total count of orders associated with a given entity or context.
-
C.
passengerCount
Indicates the number of passengers associated with a given entity, such as a vehicle or trip.
-
D.
orderParameter
Indicates the degree of structural or phase organization in a system, typically quantifying how ordered or coherent its state is relative to disorder.
-
E.
usesQuantity
Indicates that one entity employs or applies a specified amount or measure of another entity in performing an action or fulfilling a function.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.