Triple
T36324967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy |
E894436
|
entity |
| Predicate | highlightsIssue |
P3362
|
FINISHED |
| Object | inadequate social housing |
—
|
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: inadequate social housing | Statement: [Cathy, highlightsIssue, inadequate social housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highlightsIssue Context triple: [Cathy, highlightsIssue, inadequate social housing]
-
A.
highlights
chosen
Indicates that one entity draws special attention to, emphasizes, or visually marks another entity as important or noteworthy.
-
B.
highlightsSign
Indicates that one entity visually emphasizes or draws special attention to a sign.
-
C.
highlightsType
Indicates that one entity serves as a representative example or instance of the type or category defined by another entity.
-
D.
themeHighlights
Indicates that certain elements are emphasized or visually distinguished as key features within a particular theme.
-
E.
featuredIssue
Indicates that an issue is highlighted or given special prominence relative to other issues.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.