Triple
T4456701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Zurich (1799) |
E97743
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Limmat |
E70156
|
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: Limmat | Statement: [Battle of Zurich (1799), river, Limmat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limmat Context triple: [Battle of Zurich (1799), river, Limmat]
-
A.
Limmat
chosen
The Limmat is a Swiss river that flows out of Lake Zurich through the city of Zurich and continues northward until it joins the Aare.
-
B.
Maluma
Maluma is a Colombian reggaeton and Latin pop singer-songwriter known for his chart-topping hits and major influence in contemporary Latin music.
-
C.
Lapsi
Lapsi is a traditional North Indian sweet dish made from broken wheat, ghee, and sugar, commonly prepared during festivals and special occasions in regions like Bundelkhand.
-
D.
Joumine
Joumine is a locality in northern Tunisia situated within the Bizerte Governorate, known for its rural character and surrounding natural landscapes.
-
E.
Palilula
Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356434e9481908f883c09e0908f6b |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6282743e08190a2c84f3b80c6d260 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.