Triple
T17010278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passau |
E412680
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Ilz |
E624514
|
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: Ilz | Statement: [Passau, locatedOnRiver, Ilz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilz Context triple: [Passau, locatedOnRiver, Ilz]
-
A.
Ilz
chosen
The Ilz is a river in southeastern Germany that flows through the Bavarian Forest before joining the Danube near Passau.
-
B.
Islaz
Islaz is a commune in southern Romania best known as the place where the Wallachian Revolution of 1848 was first proclaimed.
-
C.
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.
-
D.
Ilinichna
Ilinichna is a central female character in Mikhail Sholokhov’s epic novel "And Quiet Flows the Don," representing the struggles and resilience of Cossack women amid war and social upheaval.
-
E.
Olizon
Olizon was an ancient coastal town in the region of Magnesia in Thessaly, Greece, known from classical sources such as Homer’s Iliad.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:33 a.m.