Triple
T16088585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Range |
E390297
|
entity |
| Predicate | hasStructuralRelation |
P33476
|
FINISHED |
| Object | adjacent to other ranges of Upper Ward |
—
|
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: adjacent to other ranges of Upper Ward | Statement: [South Range, hasStructuralRelation, adjacent to other ranges of Upper Ward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructuralRelation Context triple: [South Range, hasStructuralRelation, adjacent to other ranges of Upper Ward]
-
A.
hasRelation
chosen
Indicates that there exists some specified relationship or association between two entities.
-
B.
hasTypologicalRelation
Indicates a relationship where two linguistic entities are connected based on shared structural or typological features, such as word order, morphology, or phonological patterns.
-
C.
hasLogicalStructure
Indicates that one entity possesses or exhibits a specific underlying logical organization or pattern defined by another entity.
-
D.
hasRelationSymbol
Indicates that there exists a specific relational operator or symbol used to denote the relationship between entities.
-
E.
containsStructureFrom
Indicates that one entity includes or incorporates a structural component originating from another entity.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.