Triple
T26468464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilkenny, New Hampshire |
E665832
|
entity |
| Predicate | isLargelyUninhabited |
P36006
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kilkenny, New Hampshire, isLargelyUninhabited, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargelyUninhabited Context triple: [Kilkenny, New Hampshire, isLargelyUninhabited, true]
-
A.
uninhabited
Indicates that a place or area has no inhabitants living there.
-
B.
normallyUninhabited
chosen
Indicates that a place or area is generally not occupied or lived in by people under usual conditions.
-
C.
uninhabitedSince
Indicates that a place or structure has had no inhabitants starting from a specified point in time.
-
D.
isLargelyUndeveloped
Indicates that something has not been significantly developed, improved, or built up, remaining mostly in its original or primitive state.
-
E.
hasUninhabitedIslands
Indicates that an entity possesses or includes one or more islands that have no permanent human inhabitants.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612c5f208819096a791c6a90dc571 |
completed | May 2, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 12:17 a.m.