Triple
T11630261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attersee |
E276377
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object | Ager |
E938525
|
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: Ager | Statement: [Attersee, outflow, Ager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ager Context triple: [Attersee, outflow, Ager]
-
A.
Ager
chosen
The Ager is a river in Upper Austria that serves as the primary outflow of Lake Attersee and a tributary of the Traun River.
-
B.
Ager
Ager is a surname most notably associated with American composer and songwriter Milton Ager, known for popular songs of the early 20th century.
-
C.
Algés
Algés is a coastal civil parish in the municipality of Oeiras, just west of central Lisbon, Portugal, known for its riverside location along the Tagus and proximity to the Belém district.
-
D.
Aesernia
Aesernia was an important ancient town of the Samnite people in south-central Italy, later becoming a Roman colony.
-
E.
Aegiali
Aegiali is a coastal village and popular tourist resort on the Greek island of Amorgos, known for its scenic bay, beaches, and traditional Cycladic character.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef135cde4881908d1cf9f752592d60 |
completed | April 27, 2026, 7:42 a.m. |
Created at: April 8, 2026, 9:39 p.m.