Triple
T28923046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suicide Slum |
E733569
|
entity |
| Predicate | socialIssueDepicted |
P109068
|
FINISHED |
| Object | homelessness |
—
|
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: homelessness | Statement: [Suicide Slum, socialIssueDepicted, homelessness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialIssueDepicted Context triple: [Suicide Slum, socialIssueDepicted, homelessness]
-
A.
socialIssue
Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
-
B.
portraysSocialIssue
chosen
Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
-
C.
socialConcern
Indicates a relationship where an entity is concerned about, attentive to, or actively engaged with social issues, problems, or well-being.
-
D.
culturalIssue
Indicates that something pertains to, arises from, or significantly affects the beliefs, values, practices, or norms of a particular culture or group.
-
E.
depictsSocietyType
Indicates that one entity visually represents or portrays the type or structure of a particular society associated with another entity.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 8:21 a.m.