Triple
T3661300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pineios River |
E77653
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Larissa |
E76059
|
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: Larissa | Statement: [Pineios River, nearbySettlement, Larissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larissa Context triple: [Pineios River, nearbySettlement, Larissa]
-
A.
Larissa
chosen
Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
-
B.
Larissa
Larissa is one of Neptune’s small, irregularly shaped inner moons, discovered in 1981 and composed primarily of dark, icy material.
-
C.
Larisa
Larisa is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
D.
Myrina
Myrina is the main town and administrative center of the Greek island of Lemnos in the northern Aegean Sea.
-
E.
Helena
Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d826d88190b0b50e8592088a36 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c39796648190a83a7f1a63c653bd |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:25 p.m.