Triple
T6713751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potamoi |
E153210
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Maeander |
E64934
|
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: Maeander | Statement: [Potamoi, notableMember, Maeander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maeander Context triple: [Potamoi, notableMember, Maeander]
-
A.
Gediz River
chosen
The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
-
B.
Tarsus River
The Tarsus River is a waterway in southern Turkey that flows through the historic city of Tarsus before reaching the Mediterranean Sea.
-
C.
Eurymedon River
The Eurymedon River is an ancient river in southern Turkey, historically significant as the site of major Greek-Persian battles and a key geographic feature of the Pamphylia region.
-
D.
Aderde
Aderde is a town located in the Anseba region of Eritrea.
-
E.
Sakarya River
The Sakarya River is one of Turkey’s longest rivers, flowing northward through western Anatolia into the Black Sea and historically serving as an important geographic and cultural landmark.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d122d6cc81909bde0c94fb95f016 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700948788819087f9b466be337286 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:07 p.m.