Triple
T8020421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuringian Basin |
E186725
|
entity |
| Predicate | majorRiver |
P165
|
FINISHED |
| Object | Ilm |
E483016
|
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: Ilm | Statement: [Thuringian Basin, majorRiver, Ilm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilm Context triple: [Thuringian Basin, majorRiver, Ilm]
-
A.
Ilm
chosen
The Ilm is a river in the German state of Thuringia that flows through the historic city of Weimar and is known for its picturesque landscapes and cultural associations.
-
B.
Ilami
Ilami is a regional variety of Southern Kurdish spoken primarily in and around the city of Ilam in western Iran.
-
C.
Sayanci
Sayanci is a West Chadic language spoken in parts of northern Nigeria.
-
D.
Kitab al-Ilm
Kitab al-Ilm is the section of Sahih al-Bukhari devoted to prophetic teachings and rulings about knowledge, its virtues, and its proper transmission in Islam.
-
E.
Iljumun
Iljumun is the traditional Korean "One-Pillar Gate" that marks the symbolic entrance to many Buddhist temple complexes, representing the first step toward enlightenment.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8d90488190b57d1e748e272061 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c82824819082e93eddc40bfad1 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.