Triple
T7812447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Mark |
E180719
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | County of Mark |
E83280
|
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: County of Mark | Statement: [Count of Mark, associatedWith, County of Mark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: County of Mark Context triple: [Count of Mark, associatedWith, County of Mark]
-
A.
County of Mark
chosen
The County of Mark was a historic territorial principality of the Holy Roman Empire located in what is now North Rhine-Westphalia, Germany.
-
B.
Warwick Parish
Warwick Parish is one of Bermuda’s nine administrative parishes, known for its south shore beaches, residential communities, and coastal scenery on the main island.
-
C.
Buteshire
Buteshire is a historic county in western Scotland that encompassed the Isle of Bute and surrounding islands in the Firth of Clyde.
-
D.
Langwasser district
Langwasser district is a residential and commercial borough in the southeast of Nuremberg, Germany, developed largely in the post-World War II era.
-
E.
Somerset County
Somerset County is a largely rural county in central Maine known for its forests, lakes, and outdoor recreation opportunities.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78e198c81909d4fd227f6b71082 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1472ee908190b073819f3dfad8ee |
completed | March 31, 2026, 12:25 a.m. |
Created at: March 30, 2026, 4:38 p.m.