Triple
T31528604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | general obligations |
E804411
|
entity |
| Predicate | mayBeEnforcedThrough |
P169927
|
FINISHED |
| Object | damages |
—
|
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: damages | Statement: [general obligations, mayBeEnforcedThrough, damages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeEnforcedThrough Context triple: [general obligations, mayBeEnforcedThrough, damages]
-
A.
alsoEnforcedBy
Indicates that the same rule, policy, or constraint is enforced by an additional authority, mechanism, or entity beyond the primary one.
-
B.
enablesEnforcementOf
Indicates that one entity provides the authority, means, or conditions necessary for another entity to carry out enforcement actions or apply rules.
-
C.
canEnforce
Indicates that one entity has the authority or capability to compel compliance with rules, decisions, or obligations upon another entity.
-
D.
enforcedOn
Indicates that a rule, policy, or constraint is applied with authority to a particular target or subject.
-
E.
hasEnforcementMethod
chosen
Indicates that an entity applies, uses, or is associated with a specific method or mechanism for enforcing rules, obligations, or constraints.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 30, 2026, 10 p.m.