Triple
T3700337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sihl River |
E78561
|
entity |
| Predicate | flowsInto |
P408
|
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: [Sihl River, flowsInto, Limmat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limmat Context triple: [Sihl River, flowsInto, 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.
Palilula
Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
-
E.
Leimuiden
Leimuiden is a village in the Dutch province of South Holland, known for its location near several lakes and waterways.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc514eb6c8190b3b74a603c717729 |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdf1b16081909b18af630d0b4817 |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:26 p.m.