Triple
T33898610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pökoot |
E868983
|
entity |
| Predicate | hasLanguageDevelopment |
P198886
|
FINISHED |
| Object | literacy materials in community projects |
—
|
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: literacy materials in community projects | Statement: [Pökoot, hasLanguageDevelopment, literacy materials in community projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageDevelopment Context triple: [Pökoot, hasLanguageDevelopment, literacy materials in community projects]
-
A.
languageOfDevelopment
Indicates the programming or natural language used to develop, implement, or create a given entity.
-
B.
languageOfEarlyDevelopment
Indicates that a specified language is used during the initial or formative stages of an entity’s development.
-
C.
hasHumanDevelopmentChallenges
Indicates that an entity experiences or is associated with significant obstacles or difficulties related to human development, such as health, education, or living standards.
-
D.
hasKeyDevelopment
Indicates that an entity possesses or is associated with an important milestone, feature, or advancement in its development or evolution.
-
E.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
| PDg | Predicate description generation | batch_69ff10956d3881909144f880f92e90c4 |
completed | May 9, 2026, 10:46 a.m. |
Created at: May 1, 2026, 1:48 a.m.