Triple
T8837292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drensteinfurt |
E210296
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Werse |
E244607
|
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: Werse | Statement: [Drensteinfurt, locatedOnRiver, Werse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werse Context triple: [Drensteinfurt, locatedOnRiver, Werse]
-
A.
Werse
chosen
The Werse is a river in North Rhine-Westphalia, Germany, known for flowing through the Münster region before joining the Ems.
-
B.
Severn
The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
-
C.
Aire River
Aire River is a watercourse in the canton of Geneva, Switzerland, known for flowing through rural landscapes and forming part of the local municipal boundaries.
-
D.
River Darent
River Darent is a chalk stream river in Kent, England, flowing north through the Darent Valley to join the River Thames.
-
E.
Thames River
The Thames River in Connecticut is a short tidal estuary in the southeastern part of the state that flows past cities like New London into Long Island Sound.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606adde08190825dbdabd199c025 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf898a478c81908f138a78f331b87d |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:48 p.m.