Triple
T1989792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harar Jugol |
E43224
|
entity |
| Predicate | hasConservationPlan |
P35219
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Harar Jugol, hasConservationPlan, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConservationPlan Context triple: [Harar Jugol, hasConservationPlan, yes]
-
A.
hasConservationProgram
Indicates that an entity maintains or participates in an organized effort to protect, restore, or sustainably manage natural resources, species, or ecosystems.
-
B.
hasConservationMeasure
Indicates that a specific conservation action, policy, or measure is applied to or associated with an entity to protect or manage it.
-
C.
hasConservationGoal
Indicates that an entity is associated with or aims to achieve a specific conservation-related objective or target.
-
D.
hasConservationLand
Indicates that an entity possesses, manages, or is associated with land designated for environmental or natural resource conservation.
-
E.
hasConservationOrganization
Indicates that an entity is associated with or supported by a conservation-focused organization responsible for protecting natural resources or biodiversity.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb8ec608c81908917e945e0118ac4 |
completed | March 7, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:37 p.m.