Triple
T6940028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunbury Lock |
E160648
|
entity |
| Predicate | hasManualOperation |
P1137
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sunbury Lock, hasManualOperation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManualOperation Context triple: [Sunbury Lock, hasManualOperation, yes]
-
A.
hasBusinessOperation
Indicates that one entity conducts, manages, or is engaged in a commercial or organizational activity involving another entity.
-
B.
hasNotableOperation
Indicates that an entity is associated with a significant or noteworthy operation, activity, or procedure.
-
C.
hasGlobalOperationsIn
Indicates that an entity conducts business or operational activities across multiple countries within the specified region or location.
-
D.
hasOperationType
chosen
Indicates the specific kind or category of operation associated with an entity or process.
-
E.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:28 p.m.