Triple
T19966213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laos and Cambodia |
E479939
|
entity |
| Predicate | shareDevelopmentChallenge |
P48487
|
FINISHED |
| Object | poverty reduction |
—
|
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: poverty reduction | Statement: [Laos and Cambodia, shareDevelopmentChallenge, poverty reduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareDevelopmentChallenge Context triple: [Laos and Cambodia, shareDevelopmentChallenge, poverty reduction]
-
A.
developmentChallenges
chosen
Indicates difficulties, obstacles, or constraints that hinder or complicate the process of developing or improving something.
-
B.
designChallenge
Indicates a situation in which an entity is tasked with creating, improving, or solving something through a structured design problem or assignment.
-
C.
featuredChallengeCup
Indicates that a particular Challenge Cup is highlighted or given special prominence relative to others.
-
D.
programChallenge
Indicates that an entity sets or presents a programming-related task or problem for another entity to solve or complete.
-
E.
relatedChallenge
Indicates that one challenge is connected to another challenge, such as being similar, dependent, or otherwise contextually linked.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc4f47c8190a721f5e488150d81 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.