Triple
T1209378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khomanani Cultural Landscape |
E25963
|
entity |
| Predicate | hasManagementObjective |
P22222
|
FINISHED |
| Object | preservation of cultural traditions |
—
|
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: preservation of cultural traditions | Statement: [Khomanani Cultural Landscape, hasManagementObjective, preservation of cultural traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManagementObjective Context triple: [Khomanani Cultural Landscape, hasManagementObjective, preservation of cultural traditions]
-
A.
hasManagementGoal
chosen
Indicates that an entity is associated with a specific management objective or target it is intended to achieve or support.
-
B.
hasManagementPlan
Indicates that an entity is associated with a defined management plan specifying how it should be overseen, maintained, or administered.
-
C.
hasTypeOfManagement
Indicates that an entity is associated with or operates under a specified form or style of management.
-
D.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
E.
hasPolicyGoal
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bde30ce08190ab60a181ad2d321d |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.