Triple
T3024939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcha Nacional Filipina |
E82552
|
entity |
| Predicate | hasPerformanceContext |
P44703
|
FINISHED |
| Object | military and civic ceremonies |
—
|
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: military and civic ceremonies | Statement: [Marcha Nacional Filipina, hasPerformanceContext, military and civic ceremonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformanceContext Context triple: [Marcha Nacional Filipina, hasPerformanceContext, military and civic ceremonies]
-
A.
hasPerformanceConvention
Indicates that there is an agreed-upon set of rules, norms, or standards governing how a particular performance or activity should be carried out.
-
B.
hasPerformanceRoute
Indicates that there is a defined path, sequence, or configuration through which a performance or execution is carried out.
-
C.
hasWorkContext
Indicates that an entity is associated with a particular work-related situation, environment, or context in which it is relevant or applies.
-
D.
hasLaunchContext
Indicates that an entity is associated with a specific situation, environment, or set of conditions under which it is initiated or launched.
-
E.
hasLanguageContext
Indicates that an entity is associated with or interpreted within a specific language or linguistic context.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abac0288190a30b42674eea501f |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.