Triple
T35161579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pambansang Watawat |
E1015279
|
entity |
| Predicate | orientationInPeaceTime |
P182348
|
FINISHED |
| Object | blue 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: blue field on top | Statement: [Pambansang Watawat, orientationInPeaceTime, blue field on top]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationInPeaceTime Context triple: [Pambansang Watawat, orientationInPeaceTime, blue field on top]
-
A.
positionOnPeace
Indicates the stance or viewpoint an entity holds regarding issues of peace, such as support for or opposition to peaceful resolutions or policies.
-
B.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
C.
orientationInFlag
Indicates the spatial orientation or alignment of an entity as it appears within a flag.
-
D.
orientationType
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
-
E.
peacetimeEquivalent
Indicates that one quantity, condition, or status corresponds to the equivalent value or state that would apply under peacetime (non-conflict) conditions.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78d2ba2ac8190a3dfeea2aa3de16d |
completed | May 3, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c337cec8190bfdab225a3cc96db |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:02 p.m.