Triple
T16540357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore Treaty on the Law of Trademarks |
E401803
|
entity |
| Predicate | mayApplyTo |
P1129
|
FINISHED |
| Object | non-traditional marks |
—
|
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: non-traditional marks | Statement: [Singapore Treaty on the Law of Trademarks, mayApplyTo, non-traditional marks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayApplyTo Context triple: [Singapore Treaty on the Law of Trademarks, mayApplyTo, non-traditional marks]
-
A.
mayApply
Indicates that an entity is permitted or eligible to submit or use something (such as a rule, action, or resource) under certain conditions.
-
B.
canApplyFor
Indicates that one entity has the eligibility or permission to submit a request or application for another entity or opportunity.
-
C.
mayProvideEligibilityFor
Indicates that one entity can serve as a basis or qualifying factor that makes another entity eligible for something (such as a benefit, status, or action).
-
D.
appliesTo
chosen
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
E.
appliesToPerson
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific person.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455bd43c8190b01560d4af55a9e0 |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.