Triple
T7293078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mödling |
E164446
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Vienna Woods |
E228792
|
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: Vienna Woods | Statement: [Mödling, locatedNear, Vienna Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna Woods Context triple: [Mödling, locatedNear, Vienna Woods]
-
A.
Vienna Woods
chosen
The Vienna Woods is a forested highland region in eastern Austria known for its natural beauty, hiking trails, and role as a green belt near Vienna.
-
B.
Wildberg
Wildberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic setting along the Nagold River and historic half-timbered architecture.
-
C.
Wiesen
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
-
D.
Városliget
Városliget is a large public city park in Budapest, Hungary, known for its cultural attractions, recreational spaces, and historic landmarks.
-
E.
Granitz Forest
Granitz Forest is a scenic woodland area on Germany’s Rügen Island, known for its beech forests, hiking trails, and the historic Granitz Hunting Lodge.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6fc5788190b1b339d051f93c22 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e53faa0481909758a7366cbbe99f |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.