Triple
T15609513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lepenica |
E375250
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Velika Morava |
E76777
|
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: Velika Morava | Statement: [Lepenica, tributaryOf, Velika Morava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velika Morava Context triple: [Lepenica, tributaryOf, Velika Morava]
-
A.
Velika Morava
chosen
Velika Morava is a major river in central Serbia formed by the confluence of the West and South Morava, flowing northward before joining the Danube.
-
B.
Vukosava
Vukosava is known in Serbian medieval history as the mother of Saint Prince Lazar, the revered ruler and martyr of the Battle of Kosovo.
-
C.
Morava River
The Morava River is a major Central European river flowing through the Czech Republic, Slovakia, and Austria, forming part of the natural border between the latter two countries before joining the Danube.
-
D.
Morava River
The Morava River is a major river system in Serbia that flows through the central part of the country and serves as an important natural and economic corridor.
-
E.
Mayo-Sava
Mayo-Sava is an administrative department in Cameroon's Far North Region, known for its diverse ethnic communities and proximity to the Nigerian border.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a502c82881908d5b6f7c23e8a403 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 4:13 a.m.