Triple
T13971759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 101-649 |
E336080
|
entity |
| Predicate | annualDVCap |
P52204
|
FINISHED |
| Object | 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: 55000 | Statement: [Public Law 101-649, annualDVCap, 55000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualDVCap Context triple: [Public Law 101-649, annualDVCap, 55000]
-
A.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
B.
annualFrom
Indicates that something recurs or is calculated on a yearly basis starting from a specified point in time.
-
C.
subjectToAnnualCap
Indicates that the related amount, usage, or activity is limited by a maximum allowable value that applies on an annual basis.
-
D.
annualContainerThroughputRecordYear
Indicates the specific year in which a record level of annual container throughput was achieved.
-
E.
annualQuotaNumber
chosen
Indicates the specific numeric value assigned as an entity’s quota for a given year.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.