Triple
T28736747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tri-Cities |
E730821
|
entity |
| Predicate | hasAssociatedArea |
P112428
|
FINISHED |
| Object | Anmore |
—
|
NE NERFINISHED |
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: Anmore | Statement: [Tri-Cities, hasAssociatedArea, Anmore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedArea Context triple: [Tri-Cities, hasAssociatedArea, Anmore]
-
A.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
B.
hasSiblingArea
Indicates that one area is a sibling of another area, meaning they share the same parent area and are at the same hierarchical level.
-
C.
hasAreaNumber
Indicates that an entity is associated with a specific area identified by a numerical code.
-
D.
hasAreaConnections
chosen
Indicates that an entity is linked to one or more surrounding or related areas, typically representing spatial or regional connections between them.
-
E.
hasIntermediateArea
Indicates that there exists an area or region that lies between or connects two other areas in the relationship.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 6:01 a.m.