Triple
T3260346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen City of the West |
E68393
|
entity |
| Predicate | appliesToTime |
P11533
|
FINISHED |
| Object | period when Cincinnati was a leading river port |
—
|
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: period when Cincinnati was a leading river port | Statement: [Queen City of the West, appliesToTime, period when Cincinnati was a leading river port]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToTime Context triple: [Queen City of the West, appliesToTime, period when Cincinnati was a leading river port]
-
A.
appliesAt
Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
-
B.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
C.
appliesFrom
Indicates that a rule, condition, or effect begins to be applicable starting from a specific point in time or state.
-
D.
associatedWithTime
chosen
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
E.
appliedSince
Indicates that a particular condition, rule, status, or action has been in effect starting from a specified point in time and continues from that date onward.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa673a481909b5024b4e0e1c2a7 |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.