Triple
T28851604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asiatic cheetah |
E728609
|
entity |
| Predicate | countryOfConservationProgram |
P197924
|
FINISHED |
| Object | Iran |
—
|
NE NERFINISHED |
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: Iran | Statement: [Asiatic cheetah, countryOfConservationProgram, Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfConservationProgram Context triple: [Asiatic cheetah, countryOfConservationProgram, Iran]
-
A.
countryOfProtectedArea
Indicates that a protected natural area is located within and legally belongs to a specific country.
-
B.
hasConservationProgram
Indicates that an entity maintains or participates in an organized effort to protect, restore, or sustainably manage natural resources, species, or ecosystems.
-
C.
conservationListedBy
Indicates that an entity is recognized or recorded as a conservation concern by a specific authority, organization, or listing body.
-
D.
partOfConservationProgram
Indicates that something is included within, or belongs to, an organized conservation program or initiative.
-
E.
typeOfConservation
Indicates the specific kind or category of conservation practice, method, or approach that applies to an entity or situation.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69feba0e362c81909883a3f24a4a9545 |
completed | May 9, 2026, 4:37 a.m. |
Created at: April 28, 2026, 6:44 a.m.