Triple
T11149227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Trinidad and Tobago |
E263742
|
entity |
| Predicate | palmSymbolize |
P7837
|
FINISHED |
| Object | tropical flora of Trinidad and Tobago |
—
|
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: tropical flora of Trinidad and Tobago | Statement: [Coat of arms of Trinidad and Tobago, palmSymbolize, tropical flora of Trinidad and Tobago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: palmSymbolize Context triple: [Coat of arms of Trinidad and Tobago, palmSymbolize, tropical flora of Trinidad and Tobago]
-
A.
mapSymbol
Indicates a correspondence where one symbol is used to represent, stand for, or denote another element within a mapping or representation system.
-
B.
centralPointSymbolizes
Indicates that a central point stands for, represents, or embodies a particular concept, value, or meaning within a given context.
-
C.
towersSymbolize
Indicates that towers serve as symbols representing particular ideas, values, or concepts.
-
D.
hasPlantSymbol
chosen
Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
-
E.
symbolizedIn
Indicates that one entity serves as a symbol or representation 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8701ea481908c86c2359f5dc957 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.