Triple
T21091961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Specially Adapted Housing grants |
E519658
|
entity |
| Predicate | typicalAdaptations |
P142817
|
FINISHED |
| Object | ramps and widened doorways |
—
|
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: ramps and widened doorways | Statement: [Specially Adapted Housing grants, typicalAdaptations, ramps and widened doorways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAdaptations Context triple: [Specially Adapted Housing grants, typicalAdaptations, ramps and widened doorways]
-
A.
adaptedAs
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
-
B.
adaptationStar
Indicates that one work is an adaptation of another, with the subject being the adapted work and the object being the original source.
-
C.
notableAdaptationType
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
-
D.
inspiredAdaptationsIn
Indicates that one entity served as the creative source or influence for adaptations that were produced or manifested within another entity (such as a medium, work, or context).
-
E.
laterAdaptedFor
Indicates that something was subsequently modified or repurposed to serve a new use, context, or medium.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094f6ebc8190a90b014755a9d4a6 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:51 p.m.