Triple
T13556923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ondava |
E323798
|
entity |
| Predicate | mouthRiver |
P4359
|
FINISHED |
| Object | Latorica |
E731520
|
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: Latorica | Statement: [Ondava, mouthRiver, Latorica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latorica Context triple: [Ondava, mouthRiver, Latorica]
-
A.
Latorica
chosen
Latorica is a river in Central Europe that flows through western Ukraine and eastern Slovakia, forming part of the Tisza River basin.
-
B.
Laja
Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
-
C.
Laeca
Laeca was a cognomen used by a branch of the ancient Roman Porcia gens, identifying a specific family line within that patrician clan.
-
D.
Lumarzo
Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
-
E.
Larena
Larena is a coastal municipality on Siquijor Island in the Philippines known historically as a key commercial and educational center of the province.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff3063c8190bd20149b3f7df352 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f86f1248190922732247ff56f4d |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:47 p.m.