Triple
T28815989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fong Yue Ting v. United States |
E727641
|
entity |
| Predicate | hasHoldingType |
P50488
|
FINISHED |
| Object | upheld federal statute |
—
|
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: upheld federal statute | Statement: [Fong Yue Ting v. United States, hasHoldingType, upheld federal statute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHoldingType Context triple: [Fong Yue Ting v. United States, hasHoldingType, upheld federal statute]
-
A.
hasHolding
Indicates that one entity possesses, controls, or maintains ownership or custody of another entity as an asset or item.
-
B.
hasHeldBy
Indicates that one entity has been physically or conceptually grasped, possessed, or kept in the control of another entity.
-
C.
hasPossessionType
Indicates that one entity holds a specific kind or mode of possession or ownership in relation to another entity.
-
D.
holdingType
chosen
Indicates the type or category of a holding or possession that one entity has in relation to another or to an asset.
-
E.
isHeld
Indicates that one entity is physically supported, grasped, or kept in possession by another entity.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 28, 2026, 6:32 a.m.