Triple
T31142623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ossory |
E793829
|
entity |
| Predicate | nowCorrespondsLargelyTo |
P25442
|
FINISHED |
| Object | County Kilkenny region |
—
|
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: County Kilkenny region | Statement: [Ossory, nowCorrespondsLargelyTo, County Kilkenny region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nowCorrespondsLargelyTo Context triple: [Ossory, nowCorrespondsLargelyTo, County Kilkenny region]
-
A.
nowLargelyParalleledBy
Indicates that something has been mostly matched or replicated by something else in function, scope, or effect.
-
B.
correspondsWith
Indicates that two entities are in mutual alignment or agreement, such that one matches, parallels, or is equivalent to the other in a specified respect.
-
C.
partiallyCorrespondsTo
chosen
Indicates that one entity matches or aligns with another entity only in some aspects, segments, or components, rather than fully or exactly.
-
D.
oftenRefersTo
Indicates that one entity is frequently used to mention, denote, or reference another entity in common usage or context.
-
E.
areMostly
Indicates that one group or set consists predominantly, but not entirely, of members that belong to another specified group or category.
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:06 p.m.