Triple
T111601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Endangered Species Act |
E2258
|
entity |
| Predicate | definesTerm |
P773
|
FINISHED |
| Object | endangered 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: endangered species | Statement: [U.S. Endangered Species Act, definesTerm, endangered species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesTerm Context triple: [U.S. Endangered Species Act, definesTerm, endangered species]
-
A.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
B.
coinedTerm
Indicates that an entity originated and introduced a particular term or expression into use.
-
C.
defined
chosen
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
D.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
E.
terminus
Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25641058c8190b5b64509b35d8176 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.