Triple
T3260351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen City of the West |
E68393
|
entity |
| Predicate | hasNotableContext |
P494
|
FINISHED |
| Object | growth of the United States westward |
—
|
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: growth of the United States westward | Statement: [Queen City of the West, hasNotableContext, growth of the United States westward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableContext Context triple: [Queen City of the West, hasNotableContext, growth of the United States westward]
-
A.
hasNotableReference
Indicates that one entity makes a significant or noteworthy mention of, or allusion to, another entity.
-
B.
hasNotableType
Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
-
C.
hasNotableSubject
chosen
Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
-
D.
hasNotableSegment
Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
-
E.
hasNotableResponse
Indicates that an entity has received a significant, noteworthy, or widely recognized reaction or feedback in response to 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_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.