Triple
T35161580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pambansang Watawat |
E1015279
|
entity |
| Predicate | orientationInWarTime |
P1101
|
FINISHED |
| Object | red field on top |
—
|
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 on top | Statement: [Pambansang Watawat, orientationInWarTime, red field on top]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationInWarTime Context triple: [Pambansang Watawat, orientationInWarTime, red field on top]
-
A.
orientationInPeaceTime
Indicates the typical alignment, stance, or positioning of an entity during non-war or peacetime conditions.
-
B.
stateDuringWar
Indicates that a state or condition exists specifically in the context of, or for the duration of, a war or armed conflict.
-
C.
orientation
chosen
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
D.
statusDuringWar
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
E.
enemyDuringWar
Indicates that one entity is an enemy of another specifically in the context of a particular 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.