Triple
T29924297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Snake Island had limited effect on maritime delimitation" |
E760036
|
entity |
| Predicate | legalSubfield |
P195393
|
FINISHED |
| Object | law of the sea |
—
|
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: law of the sea | Statement: ["Snake Island had limited effect on maritime delimitation", legalSubfield, law of the sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalSubfield Context triple: ["Snake Island had limited effect on maritime delimitation", legalSubfield, law of the sea]
-
A.
legalSubject
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
-
B.
legalElement
Indicates that something is a constituent part or component required or recognized within a legal framework, rule, or process.
-
C.
legalCodeAlternativeName
Indicates that a legal code has an alternative name or designation by which it may also be known.
-
D.
legalCodeType
Indicates the specific category or classification of a legal code that applies to an entity or situation.
-
E.
legalStandardType
Indicates the specific type or category of legal standard that governs or applies to a given legal rule, decision, or evaluation.
- F. None of above. chosen
Provenance (4 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_69fdd07724f88190a33ec602642d2ea3 |
completed | May 8, 2026, noon |
Created at: April 29, 2026, 6:15 p.m.