Triple
T5517470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Dominica |
E144719
|
entity |
| Predicate | parrotStatus |
P29974
|
FINISHED |
| Object | endemic to Dominica |
—
|
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: endemic to Dominica | Statement: [Flag of Dominica, parrotStatus, endemic to Dominica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parrotStatus Context triple: [Flag of Dominica, parrotStatus, endemic to Dominica]
-
A.
mascotStatus
Indicates the role or designation of an entity as a mascot, such as whether and how it serves as a symbolic representative.
-
B.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
-
C.
deerStatus
Indicates the current condition or state associated with a deer in the context of the relationship or process being modeled.
-
D.
stateReptile
Indicates that a particular reptile is officially designated as the state reptile of a given political region or jurisdiction.
-
E.
hasBirdSpecies
chosen
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f6cefe48190bfda90d6afab8468 |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.