Triple
T8506225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendersonville Historic District |
E201338
|
entity |
| Predicate | alsoIncludesUse |
P6829
|
FINISHED |
| Object | residential |
—
|
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: residential | Statement: [Hendersonville Historic District, alsoIncludesUse, residential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoIncludesUse Context triple: [Hendersonville Historic District, alsoIncludesUse, residential]
-
A.
includeUses
Indicates that one entity incorporates or relies on another entity as a component, resource, or dependency in its use or operation.
-
B.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
C.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
D.
alsoUsedIn
chosen
Indicates that something is additionally employed, applied, or present in another context, setting, or use case beyond the primary one.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5db51e4819098dde316e87e8b0d |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.