Triple
T14524705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Slovo Park |
E340741
|
entity |
| Predicate | socioeconomicChallenge |
P55317
|
FINISHED |
| Object | unemployment |
—
|
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: unemployment | Statement: [Joe Slovo Park, socioeconomicChallenge, unemployment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socioeconomicChallenge Context triple: [Joe Slovo Park, socioeconomicChallenge, unemployment]
-
A.
hasSocioeconomicIssue
chosen
Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
-
B.
hasEconomicChallenge
Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
-
C.
socioEconomicBase
Indicates a foundational socio-economic relationship where one entity serves as the economic or social basis, support, or underlying structure for another.
-
D.
hasSocioEconomicContext
Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
-
E.
socioeconomicRole
Indicates the social and economic position, function, or status an entity holds within a society or system.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.