Triple
T2643314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toad Hall is taken over by weasels and stoats |
E62924
|
entity |
| Predicate | relatedLocation |
P3158
|
FINISHED |
| Object | TheRiverBank |
—
|
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: TheRiverBank | Statement: [Toad Hall is taken over by weasels and stoats, relatedLocation, TheRiverBank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedLocation Context triple: [Toad Hall is taken over by weasels and stoats, relatedLocation, TheRiverBank]
-
A.
relatedPlace
chosen
Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
-
B.
possibleLocation
Indicates that an entity may be located at, or could plausibly occur in, a specified place or spatial context.
-
C.
refersToLocation
Indicates that one entity designates, points to, or identifies a specific location associated with it.
-
D.
associatedWithLocality
Indicates a relationship where something has a connection or relevance to a specific geographic place or locality.
-
E.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.