Triple
T4058302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bald and Golden Eagle Protection Act |
E84746
|
entity |
| Predicate | legalStatusOfGoldenEagle |
P53058
|
FINISHED |
| Object | federally protected species |
—
|
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: federally protected species | Statement: [Bald and Golden Eagle Protection Act, legalStatusOfGoldenEagle, federally protected species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfGoldenEagle Context triple: [Bald and Golden Eagle Protection Act, legalStatusOfGoldenEagle, federally protected species]
-
A.
hasOfficialStateBird
Indicates that a particular bird species is formally designated as the official state bird of a given state or region.
-
B.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
-
C.
definedEagleGoldContent
Indicates that a specific standard or value has been established for the gold content of an eagle (gold coin) in the relationship.
-
D.
eagleHolds
Indicates that an eagle is holding or grasping another entity with its body or talons.
-
E.
eagleColor
Indicates the color attribute associated with an eagle.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbaefcb081908aab3963dcd61a20 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9fcb31c819098d5287b6fc84f4e |
completed | March 9, 2026, 4:49 p.m. |
Created at: March 9, 2026, 3:38 p.m.