Triple
T7478133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine flag |
E176681
|
entity |
| Predicate | hasBandOrder |
P1109
|
FINISHED |
| Object | light blue–white–light blue |
—
|
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: light blue–white–light blue | Statement: [Argentine flag, hasBandOrder, light blue–white–light blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBandOrder Context triple: [Argentine flag, hasBandOrder, light blue–white–light blue]
-
A.
hasBandNumber
Indicates that an entity is associated with a specific band identification number.
-
B.
hasOrder
chosen
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
C.
hasBand
Indicates that an entity is associated with or includes a particular band (e.g., musical group or band-like unit).
-
D.
hasBandRange
Indicates that one entity has an associated range or span of bands (such as frequency or wavelength intervals) defined by the other entity.
-
E.
bandCount
Indicates the number of bands or distinct grouped units associated with a given 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f0088c8190880770ac31e5b7a7 |
completed | March 27, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.