Triple
T7479506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untermarkt (Görlitz) |
E176714
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Neisse River |
E240507
|
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: Neisse River | Statement: [Untermarkt (Görlitz), locatedNear, Neisse River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neisse River Context triple: [Untermarkt (Görlitz), locatedNear, Neisse River]
-
A.
Neisse River
chosen
The Neisse River is a Central European river that forms part of the border between Germany and Poland before joining the Oder River.
-
B.
Torsha River
The Torsha River is a transboundary river flowing through Bhutan and the Indian state of West Bengal, known for its role in irrigation, local ecosystems, and frequent monsoon flooding in the Dooars region.
-
C.
Kotorosl River
The Kotorosl River is a tributary of the Volga in central Russia that flows through the city of Yaroslavl and plays an important role in its landscape and history.
-
D.
Salo River
The Salo River is a watercourse in southwestern Finland that flows through and gives its name to the town of Salo.
-
E.
Yèvre River
The Yèvre River is a waterway in central France that flows through the city of Bourges and forms part of the region’s local river network.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f13f548190a8cc59165735b30e |
completed | March 27, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c941fcac908190a2e9401f136b5f77 |
completed | March 29, 2026, 3:15 p.m. |
Created at: March 27, 2026, 3:42 p.m.