Triple
T12964775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the Philippines |
E321232
|
entity |
| Predicate | peaceFlagUsage |
P107730
|
FINISHED |
| Object | blue field displayed on top in times of peace |
—
|
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: blue field displayed on top in times of peace | Statement: [Flag of the Philippines, peaceFlagUsage, blue field displayed on top in times of peace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peaceFlagUsage Context triple: [Flag of the Philippines, peaceFlagUsage, blue field displayed on top in times of peace]
-
A.
peacePolicy
Indicates a policy or set of measures aimed at promoting, maintaining, or restoring peaceful relations between parties.
-
B.
peaceTerms
Indicates the conditions or agreements proposed or accepted by parties to establish or maintain peace after or during a conflict.
-
C.
peaceContext
Indicates that the relationship or action occurs within, contributes to, or is characterized by a situation of peace, non-violence, or conflict resolution.
-
D.
peaceDuration
Indicates the length of time during which a state of peace exists or is maintained between entities.
-
E.
peaceSignedAt
Indicates that a formal peace agreement was signed at a specific location.
- 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_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. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:25 p.m.