Triple
T1649537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condors of the Columbia |
E35659
|
entity |
| Predicate | educatesAbout |
P21344
|
FINISHED |
| Object | threats to California condors |
—
|
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: threats to California condors | Statement: [Condors of the Columbia, educatesAbout, threats to California condors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educatesAbout Context triple: [Condors of the Columbia, educatesAbout, threats to California condors]
-
A.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
B.
teachesAbout
chosen
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
C.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
D.
educatedIn
Indicates that an entity received education or formal training at a specified institution or place.
-
E.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.