Triple
T498258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Additional Protocol III |
E10342
|
entity |
| Predicate | prohibitsMisuseOfEmblems |
P14407
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Additional Protocol III, prohibitsMisuseOfEmblems, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prohibitsMisuseOfEmblems Context triple: [Additional Protocol III, prohibitsMisuseOfEmblems, true]
-
A.
emblemStatus
Indicates the current state or condition of an emblem, such as whether it is active, valid, displayed, or in use.
-
B.
emblemLanguage
Indicates that an emblem (such as a symbol or logo) is associated with or presented in a particular language.
-
C.
emblemFeatures
Indicates that an emblem includes or displays specific visual elements or characteristics.
-
D.
primaryEmblem
Indicates that one emblem is the main or most representative symbol associated with an entity.
-
E.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1183e988190bce70932a9678134 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edfa87cc8190a77c726a5a55b7d9 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebbd70481908b462296671de67b |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.