Triple
T15521293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Barbados |
E368971
|
entity |
| Predicate | dolphinSymbolizes |
P41568
|
FINISHED |
| Object | fishing industry |
—
|
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: fishing industry | Statement: [Coat of arms of Barbados, dolphinSymbolizes, fishing industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dolphinSymbolizes Context triple: [Coat of arms of Barbados, dolphinSymbolizes, fishing industry]
-
A.
symbolismOfSea
Indicates the symbolic meaning or thematic significance that the sea holds within a given context or work.
-
B.
animalSymbol
chosen
Indicates that one entity serves as a symbolic representation or emblem of the other in the form of an animal.
-
C.
dolphinColor
Indicates the characteristic color or coloration pattern associated with a dolphin.
-
D.
DolphinsHomeAdvantageReputation
Indicates the perceived strength or impact of the Dolphins’ home-field advantage in competitive contexts.
-
E.
waterSymbolizes
Indicates that water is used as a symbol or metaphor representing a particular idea, quality, or concept.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0403543188190abac49d2b9decb89 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.