Triple
T15338811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drau |
E366735
|
entity |
| Predicate | hasMajorTributary |
P415
|
FINISHED |
| Object | Isel |
E625420
|
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: Isel | Statement: [Drau, hasMajorTributary, Isel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isel Context triple: [Drau, hasMajorTributary, Isel]
-
A.
Isel
chosen
The Isel is a glacially fed river in East Tyrol, Austria, known for its largely natural course, whitewater sections, and role as a key tributary of the Drava.
-
B.
Ilo
Ilo is a given name associated with the individual Ilo Browne Wallace.
-
C.
Ilo
Ilo is a coastal port city in southern Peru known for its fishing industry and maritime trade.
-
D.
Naharina
Naharina is an ancient Near Eastern region, often identified with the kingdom of Mitanni, known from Egyptian and Mesopotamian sources as a powerful state in northern Mesopotamia and Syria during the second millennium BCE.
-
E.
Isella
Isella is a small hamlet of the alpine municipality of Macugnaga in northern Italy.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b41f130819082ea69ea535468ce |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:17 a.m.