Triple
T28677782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Circus, Bath |
E725915
|
entity |
| Predicate | hasOrderOfColumns |
P45081
|
FINISHED |
| Object | Doric |
—
|
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: Doric | Statement: [The Circus, Bath, hasOrderOfColumns, Doric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrderOfColumns Context triple: [The Circus, Bath, hasOrderOfColumns, Doric]
-
A.
hasColumnOrder
Indicates that one column in a sequence is positioned before or after another column, specifying their relative ordering.
-
B.
columnOrderUsed
chosen
Indicates that a specific ordering of columns is applied or relied upon in a given context or operation.
-
C.
hasElementOrder
Indicates that one entity is ordered or ranked relative to another within a sequence or hierarchy.
-
D.
columnOrder
Indicates the relative sequencing or arrangement of columns within a structured layout or dataset.
-
E.
hasColumns
Indicates that one entity possesses or is characterized by a set of columns associated with it.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 28, 2026, 5:07 a.m.