Triple
T12144935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winterthur |
E289292
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Eulach |
E393773
|
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: Eulach | Statement: [Winterthur, river, Eulach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eulach Context triple: [Winterthur, river, Eulach]
-
A.
Eulach
chosen
Eulach is a small river in the canton of Zurich, Switzerland, that flows through the city of Winterthur and has historically shaped its development.
-
B.
Aegan
Aegan is a 2008 Tamil action-comedy film starring Ajith Kumar, loosely inspired by the Bollywood movie Main Hoon Na.
-
C.
Coracholan
Coracholan is an indigenous language of western Mexico, traditionally spoken by the Cora people in the Nayarit region.
-
D.
Ezellohar
Ezellohar is the green mound in Tolkien’s legendarium upon which the Two Trees of Valinor once grew, serving as a central symbol of light and blessing in Aman.
-
E.
Eadhild
Eadhild was a 10th-century English princess, daughter of King Edward the Elder, who became Queen of West Francia through her marriage to King Hugh the Great.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.