Triple
T36717983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Row |
E906964
|
entity |
| Predicate | replacesTypeOf |
P35568
|
FINISHED |
| Object | old hobbit-holes of Bagshot Row |
—
|
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: old hobbit-holes of Bagshot Row | Statement: [New Row, replacesTypeOf, old hobbit-holes of Bagshot Row]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesTypeOf Context triple: [New Row, replacesTypeOf, old hobbit-holes of Bagshot Row]
-
A.
replacedStructureType
chosen
Indicates that one structure type has been substituted or superseded by another structure type.
-
B.
replacesFileType
Indicates that one file type is substituted for or takes the place of another file type.
-
C.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
D.
replacedBodyType
Indicates that one body type has been substituted or superseded by another body type.
-
E.
changeType
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:12 p.m.