Triple
T3470123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldenburg |
E73235
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Hunte |
E177245
|
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: Hunte | Statement: [Oldenburg, locatedOnRiver, Hunte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunte Context triple: [Oldenburg, locatedOnRiver, Hunte]
-
A.
Hunte
chosen
The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
-
B.
Cecil
Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
-
C.
Havelock
Havelock is an English surname most notably associated with Sir Henry Havelock, a 19th-century British general known for his role in the Indian Rebellion of 1857.
-
D.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
E.
Fadden
Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb392f6481908b6ad0457b8cf421 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680dd2c48190a06c5c320a06a71a |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.