Triple
T31111741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleopatra Hill |
E792963
|
entity |
| Predicate | slopeDevelopment |
P46618
|
FINISHED |
| Object | terraced streets and buildings of Jerome |
—
|
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: terraced streets and buildings of Jerome | Statement: [Cleopatra Hill, slopeDevelopment, terraced streets and buildings of Jerome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeDevelopment Context triple: [Cleopatra Hill, slopeDevelopment, terraced streets and buildings of Jerome]
-
A.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
B.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
-
C.
slopeUse
chosen
Indicates how a particular slope or gradient is utilized or purposed in relation to another entity.
-
D.
slopeReason
Indicates that one entity provides the explanation or cause for the slope or rate of change observed in another entity or relationship.
-
E.
hasSlopeRating
Indicates that something (typically a golf course or hole) is associated with a specific slope rating value that quantifies its relative difficulty for bogey golfers compared to scratch golfers.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:04 p.m.