Triple
T8808210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsakonians |
E209586
|
entity |
| Predicate | modernChallenge |
P71878
|
FINISHED |
| Object | urban migration |
—
|
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: urban migration | Statement: [Tsakonians, modernChallenge, urban migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernChallenge Context triple: [Tsakonians, modernChallenge, urban migration]
-
A.
modernIssue
Indicates that the subject is a contemporary or current-day issue affecting the object or broader context.
-
B.
currentChallenges
chosen
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
-
C.
challengedPractice
Indicates that one entity has questioned, disputed, or formally opposed the validity, appropriateness, or continuation of another entity’s practice or procedure.
-
D.
relatedChallenge
Indicates that one challenge is connected to another challenge, such as being similar, dependent, or otherwise contextually linked.
-
E.
challengeType
Indicates the specific category or kind of challenge associated with an action or relationship between entities.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd4cbec8190a929d4e60da8ad65 |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.