Triple
T5993843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halderberge |
E133417
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Hoeven |
E562072
|
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: Hoeven | Statement: [Halderberge, formedByMergerOf, Hoeven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoeven Context triple: [Halderberge, formedByMergerOf, Hoeven]
-
A.
Hoeven
chosen
Hoeven is a village in the Dutch province of North Brabant, known for its historic abbey and rural character.
-
B.
Harlan
Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
-
C.
Broun
Broun is an alternative spelling or variant of the surname "Brown," commonly found in historical and regional records.
-
D.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
E.
Pete Ricketts
Pete Ricketts is an American businessman and Republican politician who served as the governor of Nebraska and later as a U.S. senator from the state.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e92e1448190bbf961a8243082ee |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1136125808190a363a00a60d8675a |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:05 p.m.