Triple
T22561869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arruns Tarquinius |
E557834
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Silva Arsia
Silva Arsia was an ancient wooded area near Rome traditionally associated with early Roman–Etruscan conflicts and legendary events of the regal period.
|
E1543482
|
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: Silva Arsia | Statement: [Arruns Tarquinius, deathPlace, Silva Arsia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silva Arsia Context triple: [Arruns Tarquinius, deathPlace, Silva Arsia]
-
A.
Ceresio
Ceresio is another name for Lake Lugano, a glacial lake in southern Switzerland and northern Italy known for its scenic Alpine surroundings and resort towns.
-
B.
Aresia
Aresia is a DC Comics supervillain and original animated character who opposes the Justice League, often associated with the Injustice Gang.
-
C.
Rigia
Rigia is a small settlement located within the Karystos municipal unit on the island of Euboea in Greece.
-
D.
Astún
Astún is a ski resort in the Spanish Pyrenees known for its alpine terrain and winter sports facilities.
-
E.
Sila
Sila is the Buddhist principle of ethical conduct and moral discipline, forming a core component of the path to liberation.
- 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: Silva Arsia Triple: [Arruns Tarquinius, deathPlace, Silva Arsia]
Generated description
Silva Arsia was an ancient wooded area near Rome traditionally associated with early Roman–Etruscan conflicts and legendary events of the regal period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silva Arsia Target entity description: Silva Arsia was an ancient wooded area near Rome traditionally associated with early Roman–Etruscan conflicts and legendary events of the regal period.
-
A.
Ceresio
Ceresio is another name for Lake Lugano, a glacial lake in southern Switzerland and northern Italy known for its scenic Alpine surroundings and resort towns.
-
B.
Aresia
Aresia is a DC Comics supervillain and original animated character who opposes the Justice League, often associated with the Injustice Gang.
-
C.
Rigia
Rigia is a small settlement located within the Karystos municipal unit on the island of Euboea in Greece.
-
D.
Astún
Astún is a ski resort in the Spanish Pyrenees known for its alpine terrain and winter sports facilities.
-
E.
Sila
Sila is the Buddhist principle of ethical conduct and moral discipline, forming a core component of the path to liberation.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa6a928819083925ea23aaaf725 |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d6d8bd88190a0716294f22fd32b |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b364801cc81908204a937c1099728 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37a1ecc08190ac89e862582833a0 |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.