Triple
T19670900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentinel Chickens: What Birds Tell Us About Our Health and Our World |
E472330
|
entity |
| Predicate | usesAsCaseStudy |
P2398
|
FINISHED |
| Object | birds and their diseases |
—
|
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: birds and their diseases | Statement: [Sentinel Chickens: What Birds Tell Us About Our Health and Our World, usesAsCaseStudy, birds and their diseases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAsCaseStudy Context triple: [Sentinel Chickens: What Birds Tell Us About Our Health and Our World, usesAsCaseStudy, birds and their diseases]
-
A.
hasCaseStudy
chosen
Indicates that one entity is documented, illustrated, or analyzed by a specific case study associated with it.
-
B.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
-
C.
caseStudyNumber
Indicates the identifying number assigned to a specific case study within a collection or series.
-
D.
usedInCase
Indicates that something (such as an item, method, or piece of information) is employed or applied within a particular case or instance.
-
E.
isUsedToIllustrate
Indicates that one entity serves as an example or demonstration to clarify, explain, or represent another entity.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416b9cf8819096f44e3f9fbf86fa |
completed | April 20, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69e514eb37b8819091502cc954f70eba |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.