Triple
T5130465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rijeka |
E115683
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Reka |
E445572
|
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: Reka | Statement: [Rijeka, historicalName, Reka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reka Context triple: [Rijeka, historicalName, Reka]
-
A.
Bes River
The Bes River is a regional river in central India that flows near the city of Vidisha in Madhya Pradesh.
-
B.
Kupa River
chosen
The Kupa River is a central European river flowing through Croatia and Slovenia, known for passing through cities like Karlovac and forming part of the Croatia–Slovenia border.
-
C.
Körös
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
-
D.
Bega River
The Bega River is a waterway in southeastern New South Wales, Australia, that flows through the town of Bega before reaching the Tasman Sea.
-
E.
Dyje
The Dyje is a major river in Central Europe that flows through the Czech Republic and Austria, forming part of their border and contributing significantly to the Morava River basin.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7827c764819086da3b79f2020224 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10ba84d88190babe5d9f676ba7b6 |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:42 p.m.