Triple
T7959521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange River region |
E184825
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Trekboers |
E701175
|
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: Trekboers | Statement: [Orange River region, associatedWith, Trekboers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trekboers Context triple: [Orange River region, associatedWith, Trekboers]
-
A.
Trekkers
Trekkers are devoted fans of the Star Trek franchise, known for their deep engagement with its stories, characters, and speculative science fiction universe.
-
B.
Trekkers
chosen
Trekkers were Boer (Afrikaner) pioneers who migrated inland from the Cape Colony during the 1830s–1840s Great Trek to establish independent republics in southern Africa.
-
C.
Driewegen
Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
-
D.
Spoor
Spoor is a Dutch surname most notably borne by Simon Hendrik Spoor, a prominent military leader in the mid-20th century.
-
E.
Land van Rijen
Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b80050c81909b2db95ade495052 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe07d31a881909e891fdd73c4467b |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:11 p.m.