Triple
T13900063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamieskroon |
E334193
|
entity |
| Predicate | locatedNorthOf |
P305
|
FINISHED |
| Object | Garies |
E333267
|
NE 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: Garies | Statement: [Kamieskroon, locatedNorthOf, Garies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garies Context triple: [Kamieskroon, locatedNorthOf, Garies]
-
A.
Garies
chosen
Garies is a small rural town in South Africa’s Northern Cape, known as a gateway settlement within the arid Namaqualand region famed for its spring wildflower displays.
-
B.
Garons
Garons is a small commune in southern France’s Gard department, situated near the city of Nîmes and known for hosting the Nîmes-Alès-Camargue-Cévennes Airport.
-
C.
Garity
Garity is a surname most notably associated with American actor Troy Garity, known for his roles in films such as "Barbershop" and "Soldier's Girl."
-
D.
Garris
Garris is a surname most notably associated with American filmmaker and screenwriter Mick Garris, known for his work in the horror genre.
-
E.
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d8897881908b770cdb565898d4 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c720b4988190aee1f1f09877212d |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.