Triple
T12964774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the Philippines |
E321232
|
entity |
| Predicate | warFlagUsage |
P30719
|
FINISHED |
| Object | red field displayed on top in times of war |
—
|
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: red field displayed on top in times of war | Statement: [Flag of the Philippines, warFlagUsage, red field displayed on top in times of war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warFlagUsage Context triple: [Flag of the Philippines, warFlagUsage, red field displayed on top in times of war]
-
A.
warFlag
Indicates that one entity has formally declared or is engaged in a state of war or armed conflict with another entity.
-
B.
warStatus
Indicates the state or condition of conflict or war that exists between entities at a given time.
-
C.
warFlagDesign
Indicates the design or pattern that appears on a group's war or battle flag.
-
D.
usedInWar
Indicates that something (such as a resource, technology, or strategy) was employed as part of military activities or conflict in a war.
-
E.
wartimeUse
chosen
Indicates that something is used or employed during a period of war or armed conflict.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:25 p.m.