Triple
T1702350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life on Land |
E36793
|
entity |
| Predicate | belongsToPillar |
P31328
|
FINISHED |
| Object | environmental sustainability |
—
|
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: environmental sustainability | Statement: [Life on Land, belongsToPillar, environmental sustainability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPillar Context triple: [Life on Land, belongsToPillar, environmental sustainability]
-
A.
recognizesPillar
Indicates that one entity acknowledges or identifies another entity as a fundamental support, key element, or core principle within a given context.
-
B.
belongsToPortfolio
Indicates that something is included as a component or asset within a particular portfolio.
-
C.
hasBlueprintPillars
Indicates that something includes or is associated with foundational structural elements that serve as key supporting pillars in its blueprint or design.
-
D.
associatedWithDiscipline
Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
-
E.
belongsToChamber
Indicates that an entity is a member of, or is formally associated with, a specific chamber or legislative body.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf16865488190a76577b36760dc7a |
completed | March 6, 2026, 3:23 p.m. |
Created at: March 4, 2026, 7:30 p.m.