Triple
T10800333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asbestos Litigation Section |
E254820
|
entity |
| Predicate | typicalPlaintiffs |
P26870
|
FINISHED |
| Object | individuals with asbestos-related illnesses |
—
|
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: individuals with asbestos-related illnesses | Statement: [Asbestos Litigation Section, typicalPlaintiffs, individuals with asbestos-related illnesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlaintiffs Context triple: [Asbestos Litigation Section, typicalPlaintiffs, individuals with asbestos-related illnesses]
-
A.
partyTypePlaintiffs
chosen
Indicates the classification or category of the parties serving as plaintiffs in a legal action.
-
B.
typicalDefendants
Indicates that the referenced entities are the ones most commonly or characteristically serving as defendants in the relevant legal context.
-
C.
typicalPrecedent
Indicates that one situation, case, or event serves as a standard or commonly followed example for how similar later situations are handled.
-
D.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
E.
typicalClaimValue
Indicates the value that is normally or most commonly claimed in this context, representing a standard or representative claim amount.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336d1b5c8190949144bba2fa0e76 |
completed | April 9, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.