Triple
T27788677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthochaera |
E701022
|
entity |
| Predicate | hasVernacularGroupName |
P86353
|
FINISHED |
| Object | wattlebirds |
—
|
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: wattlebirds | Statement: [Anthochaera, hasVernacularGroupName, wattlebirds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVernacularGroupName Context triple: [Anthochaera, hasVernacularGroupName, wattlebirds]
-
A.
hasEnglishGroupName
Indicates that an entity is associated with a group whose name is given in English.
-
B.
hasLanguageGroup
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
C.
vernacularGroup
chosen
Indicates a relationship where entities are grouped or associated based on sharing the same vernacular (local or commonly spoken) language.
-
D.
languageGroupName
Indicates the name assigned to a particular language group or linguistic classification.
-
E.
hasCharacterGroupName
Indicates that an entity is associated with a specific name identifying a group of characters.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 5:26 p.m.