Triple
T8882838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miltenberg |
E211451
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Spessart |
E687544
|
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: Spessart | Statement: [Miltenberg, locatedBetween, Spessart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spessart Context triple: [Miltenberg, locatedBetween, Spessart]
-
A.
Spessart
chosen
Spessart is a low mountain range and forested region in Germany, known for its dense woodlands and historic association with Franconian territories.
-
B.
Wurmberg
Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
-
C.
Murau
Murau is a historic small town in the Austrian Alps known for its medieval architecture, timber industry, and popular nearby ski and hiking areas.
-
D.
Seelenberg
Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
-
E.
Simberi
Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabca74888190934593d6504fbed1 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.