Triple
T284262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO flag |
E5853
|
entity |
| Predicate | emblemPosition |
P4762
|
FINISHED |
| Object | center |
—
|
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: center | Statement: [NATO flag, emblemPosition, center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emblemPosition Context triple: [NATO flag, emblemPosition, center]
-
A.
emblemLanguage
Indicates that an emblem (such as a symbol or logo) is associated with or presented in a particular language.
-
B.
hasOfficialInsigniaLocation
chosen
Indicates the specific place where an entity’s official insignia is physically located or displayed.
-
C.
badgeObverseDesign
Indicates the design or imagery that appears on the front (obverse) side of a badge.
-
D.
cantonPosition
Indicates the relative placement or arrangement of a canton within a larger geographic or administrative context.
-
E.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e0d789881908d6a9a8d6a0d4a6c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b795a6c8190944d48e8418e0ccd |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.