Triple
T35955891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowen’s Court, County Cork |
E1039857
|
entity |
| Predicate | hasGenreOfWritingAboutIt |
P87617
|
FINISHED |
| Object | family history |
—
|
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: family history | Statement: [Bowen’s Court, County Cork, hasGenreOfWritingAboutIt, family history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfWritingAboutIt Context triple: [Bowen’s Court, County Cork, hasGenreOfWritingAboutIt, family history]
-
A.
hasWrittenAbout
Indicates that one entity has authored content or material discussing, analyzing, or referencing another entity.
-
B.
hasGivenGenreDefiningWork
Indicates that an entity has created or produced a work that is widely regarded as defining or fundamentally shaping a particular genre.
-
C.
hasGenreInFiction
Indicates that a work of fiction belongs to or is categorized under a specific literary genre.
-
D.
genreOfProducedWorks
chosen
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
E.
isCreativeWorkOfGenre
Indicates that a creative work belongs to, or is categorized under, a particular genre.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:07 p.m.