Triple
T33470569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seram friarbird |
E857174
|
entity |
| Predicate | belongsToAvifaunaOf |
P29974
|
FINISHED |
| Object | Indonesia |
—
|
NE NERFINISHED |
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: Indonesia | Statement: [Seram friarbird, belongsToAvifaunaOf, Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToAvifaunaOf Context triple: [Seram friarbird, belongsToAvifaunaOf, Indonesia]
-
A.
hasBirdSpecies
chosen
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
-
B.
isLandBird
Indicates that the subject is a bird species that primarily lives on land rather than in aquatic or marine environments.
-
C.
birdFamily
Indicates that one entity belongs to, or is classified within, the same bird family as another entity.
-
D.
isBirdLike
Indicates that one entity resembles or shares key characteristics or behaviors with birds.
-
E.
isFlightless
Indicates that the subject lacks the ability to fly, either naturally or due to specific conditions.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 1, 2026, 1:37 a.m.