Triple
T20612266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neptune system |
E506474
|
entity |
| Predicate | hasInnerRegularMoon |
P59572
|
FINISHED |
| Object | Larissa |
—
|
NE NERFINISHED |
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: [Neptune system, hasInnerRegularMoon, Larissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larissa Context triple: [Neptune system, hasInnerRegularMoon, Larissa]
-
A.
Larissa
Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
-
B.
Larissa
chosen
Larissa is one of Neptune’s small, irregularly shaped inner moons, discovered in 1981 and composed primarily of dark, icy material.
-
C.
Larisa
Larisa was an ancient Greek city located in the region of Aeolis in western Asia Minor.
-
D.
Larisa
Larisa is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
E.
Dymitria
Dymitria is an alternative name for the Dymitriads, a religious celebration or festival associated with Saint Demetrius in Christian tradition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad94dac8190921c7769a649c724 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.