Triple
T3270128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loir |
E68625
|
entity |
| Predicate | hasRightTributary |
P415
|
FINISHED |
| Object | Vegre |
E258307
|
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: Vegre | Statement: [Loir, hasRightTributary, Vegre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vegre Context triple: [Loir, hasRightTributary, Vegre]
-
A.
Vègre
chosen
The Vègre is a river in northwestern France that flows through the Sarthe department before joining the Eure’s river system as a tributary.
-
B.
Desna
Desna is a major river in Russia and Ukraine that flows southward to join the Dnieper, playing an important role in the region’s hydrology and history.
-
C.
Váh
Váh is the longest river in Slovakia, flowing through much of the country before joining the Danube.
-
D.
Dijla
Dijla is the Kurdish name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
-
E.
Orava
Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28efded588190bd6c361e5298b496 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.