Triple
T250959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passeriformes |
E5145
|
entity |
| Predicate | proportionOfAllBirdSpecies |
P8593
|
FINISHED |
| Object | more than half |
—
|
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: more than half | Statement: [Passeriformes, proportionOfAllBirdSpecies, more than half]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proportionOfAllBirdSpecies Context triple: [Passeriformes, proportionOfAllBirdSpecies, more than half]
-
A.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
-
B.
nationalBird
Indicates that one entity is officially designated as the national bird or avian symbol of another entity (typically a country or region).
-
C.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
-
D.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
E.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
- F. None of above. chosen
Provenance (4 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d38aba8819081d0958eb60ce27e |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c036b54819090a101c4cbdbcff7 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.