Triple
T3257285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Grove |
E68326
|
entity |
| Predicate | geographicDirectionWithinCountry |
P46910
|
FINISHED |
| Object | east |
—
|
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: east | Statement: [Golden Grove, geographicDirectionWithinCountry, east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicDirectionWithinCountry Context triple: [Golden Grove, geographicDirectionWithinCountry, east]
-
A.
geographicDirectionWithinState
Indicates that one location lies in a specified cardinal or relative geographic direction within the boundaries of a particular state.
-
B.
countryBorderDirection
Indicates the cardinal or relative direction in which one country lies in relation to the border it shares with another country.
-
C.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
D.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
E.
canProvideDirections
Indicates that one entity is able to give another entity guidance or instructions on how to reach a particular location or navigate a route.
- F. None of above. chosen
Provenance (4 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf68b280819087c302d454490c03 |
completed | March 8, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.