Triple
T610976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiber |
E12096
|
entity |
| Predicate | latinName |
P3646
|
FINISHED |
| Object | Tiberis |
E12096
|
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: Tiberis | Statement: [Tiber, latinName, Tiberis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiberis Context triple: [Tiber, latinName, Tiberis]
-
A.
Tiber
chosen
The Tiber is the historic river in central Italy that flows through Rome and played a crucial role in the city's founding, development, and trade.
-
B.
Gediz River
The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
-
C.
Aniene
The Aniene is a river in central Italy that flows through the Apennines and joins the Tiber near Rome, historically important as a water source for the ancient city.
-
D.
Maritsa
Maritsa is a significant river in the Balkans that flows through Bulgaria, Greece, and Turkey before emptying into the Aegean Sea.
-
E.
Danube
The Danube is one of Europe's longest and most historically significant rivers, flowing from Germany to the Black Sea and passing through numerous Central and Eastern European countries.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df7c088819082eb70de4f0f4fbf |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a4ba2d88190969e7c777a1bbfd7 |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:35 p.m.