Triple
T435041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Convention on Standards of Training, Certification and Watchkeeping for Seafarers |
E9792
|
entity |
| Predicate | structureIncludes |
P1393
|
FINISHED |
| Object | Articles |
—
|
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: Articles | Statement: [International Convention on Standards of Training, Certification and Watchkeeping for Seafarers, structureIncludes, Articles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureIncludes Context triple: [International Convention on Standards of Training, Certification and Watchkeeping for Seafarers, structureIncludes, Articles]
-
A.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
includesClause
Indicates that one entity (typically a document, contract, or statement) contains or incorporates a specific clause as part of its content.
-
C.
includesInfraclass
Indicates that one entity is classified as belonging to a specific infraclass within a taxonomic hierarchy.
-
D.
includesElement
Indicates that one collection, set, or structure contains a specified element as a member or component.
-
E.
withinFeature
Indicates that one entity is spatially contained inside or lies entirely within the bounds of another feature.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ef0b6e0c8190ad6a335ee804829c |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2edda55e88190b7c17ba94d7df1ce |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.