Triple
T6649132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Existing Liabilities Scheme |
E150773
|
entity |
| Predicate | typeOfLiability |
P58861
|
FINISHED |
| Object | existing clinical negligence liabilities |
—
|
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: existing clinical negligence liabilities | Statement: [Existing Liabilities Scheme, typeOfLiability, existing clinical negligence liabilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLiability Context triple: [Existing Liabilities Scheme, typeOfLiability, existing clinical negligence liabilities]
-
A.
establishesLiabilityFor
Indicates that one party is held legally responsible or accountable for a particular act, omission, or outcome.
-
B.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
-
C.
carrierLiabilityType
chosen
Indicates the specific type or category of legal or contractual liability that a carrier assumes in relation to the goods or services it transports or provides.
-
D.
typeOfClaim
Indicates the specific category or nature of a claim being made in relation to an entity or statement.
-
E.
litigationType
Indicates the specific category or nature of a legal dispute or court case associated with an entity or event.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.