Triple
T2534508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Nigeria |
E56236
|
entity |
| Predicate | crestAnimal |
P26534
|
FINISHED |
| Object | eagle |
—
|
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: eagle | Statement: [Coat of arms of Nigeria, crestAnimal, eagle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crestAnimal Context triple: [Coat of arms of Nigeria, crestAnimal, eagle]
-
A.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
B.
apexPredatorIn
Indicates that an entity is the top predator within a specified environment, ecosystem, or location, facing no regular natural predators there.
-
C.
animalForm
chosen
Indicates that one entity takes the shape, body, or characteristics of an animal.
-
D.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
E.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.