Triple
T396592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Seal of the United States |
E8995
|
entity |
| Predicate | numberOfStripesOnShield |
P1538
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Great Seal of the United States, numberOfStripesOnShield, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStripesOnShield Context triple: [Great Seal of the United States, numberOfStripesOnShield, 13]
-
A.
numberOfStripes
chosen
Indicates the count of distinct stripe markings associated with an entity.
-
B.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
C.
coatOfArmsFeatures
Indicates that a coat of arms includes or displays specific symbols, colors, or design elements as part of its heraldic composition.
-
D.
ribbonAdditionalStripes
Indicates that additional stripes are present on a ribbon beyond its primary or standard design.
-
E.
middleStripeColor
Indicates that one entity has a middle stripe whose color is specified by the other 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec8a941081909a152fda0ce24a98 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96d17d08190878d3a68b17d51ca |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.