Triple
T9716734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etruscan religion |
E235160
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object |
Artumes
Artumes is an Etruscan goddess associated with hunting, the wilderness, and the moon, closely related to the Greek Artemis.
|
E815999
|
NE FINISHED |
How this triple was built (4 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: Artumes | Statement: [Etruscan religion, hasDeity, Artumes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artumes Context triple: [Etruscan religion, hasDeity, Artumes]
-
A.
Cremera
Cremera is a small river in central Italy historically known as the site of battles between the ancient Etruscan city of Veii and early Rome.
-
B.
Phenax
Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
-
C.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
D.
Tamzine
Tamzine is a small British fishing boat famed for taking part in the 1940 Dunkirk evacuation as one of the celebrated "Little Ships."
-
E.
Balthane
Balthane is a small locality within the parish of Malew on the Isle of Man, known historically for its rural character and traditional setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Artumes Triple: [Etruscan religion, hasDeity, Artumes]
Generated description
Artumes is an Etruscan goddess associated with hunting, the wilderness, and the moon, closely related to the Greek Artemis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artumes Target entity description: Artumes is an Etruscan goddess associated with hunting, the wilderness, and the moon, closely related to the Greek Artemis.
-
A.
Cremera
Cremera is a small river in central Italy historically known as the site of battles between the ancient Etruscan city of Veii and early Rome.
-
B.
Phenax
Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
-
C.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
D.
Tamzine
Tamzine is a small British fishing boat famed for taking part in the 1940 Dunkirk evacuation as one of the celebrated "Little Ships."
-
E.
Balthane
Balthane is a small locality within the parish of Malew on the Isle of Man, known historically for its rural character and traditional setting.
- F. None of above. chosen
Provenance (5 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e3d75e08190b4d86363595bd40d |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f941b908190a3e27f4b6c1b3535 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a00eafc08190a2be7684fd7e9320 |
completed | April 4, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a072e08c8190a3beaf1219fa850f |
completed | April 4, 2026, 11:36 p.m. |
Created at: March 30, 2026, 8:20 p.m.