Triple
T13855556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5th United States Congress |
E333053
|
entity |
| Predicate | passedMeasuresRelatedTo |
P53420
|
FINISHED |
| Object | naval expansion |
—
|
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: naval expansion | Statement: [5th United States Congress, passedMeasuresRelatedTo, naval expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passedMeasuresRelatedTo Context triple: [5th United States Congress, passedMeasuresRelatedTo, naval expansion]
-
A.
measuredBy
Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
-
B.
adoptedMeasure
chosen
Indicates that an entity has formally accepted and put into effect a specific measure, policy, or course of action.
-
C.
relatedMetric
Indicates that one metric has a defined relationship or dependency with another metric.
-
D.
adoptedAsTargetMeasureBy
Indicates that a measure has been selected and used as the target or reference metric by another entity (such as a plan, policy, or assessment).
-
E.
measured
Indicates that one entity has determined or quantified a property, amount, or extent of another entity using some standard or instrument.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.