Triple
T28113648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawks |
E710558
|
entity |
| Predicate | countryLawEnforced |
P11901
|
FINISHED |
| Object | South African law |
—
|
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: South African law | Statement: [Hawks, countryLawEnforced, South African law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryLawEnforced Context triple: [Hawks, countryLawEnforced, South African law]
-
A.
enforcedLaw
chosen
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
B.
hasLawEnactedNearby
Indicates that a law has been officially enacted in a location that is geographically close to the referenced entity.
-
C.
lawEnforcementStatus
Indicates the relationship between an entity and its current standing or condition with respect to law enforcement, such as being under investigation, wanted, detained, or cleared.
-
D.
enforcesLawThrough
Indicates that one entity upholds, applies, or executes laws or legal rules by means of another entity, mechanism, or process.
-
E.
isCriminalizedIn
Indicates that a specific behavior, action, or condition is prohibited and subject to legal penalties within a particular jurisdiction or legal system.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: April 27, 2026, 9:12 p.m.