Triple
T28922901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suicide Slum |
E733565
|
entity |
| Predicate | countryInRealWorldPublishingContext |
P198136
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Suicide Slum, countryInRealWorldPublishingContext, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryInRealWorldPublishingContext Context triple: [Suicide Slum, countryInRealWorldPublishingContext, United States]
-
A.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
-
B.
countryInReality
Indicates that a given country exists or is recognized as such within a particular real-world context or scenario.
-
C.
continentOfPublication
Indicates the continent on which the publication was produced or released.
-
D.
countryInWork
Indicates that a creative work is set in, associated with, or significantly involves a particular country.
-
E.
countryInWorld
Indicates that a country is located within and is a member of the world as a whole.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fecd091abc8190872974de731a80fa |
completed | May 9, 2026, 5:58 a.m. |
Created at: April 28, 2026, 8:21 a.m.