Triple
T4285898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clusium |
E97266
|
entity |
| Predicate | nearbyAncientCity |
P14422
|
FINISHED |
| Object |
Perusia
Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
|
E427756
|
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: Perusia | Statement: [Clusium, nearbyAncientCity, Perusia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perusia Context triple: [Clusium, nearbyAncientCity, Perusia]
-
A.
Russas
Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
-
B.
Usan
Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
-
C.
Umma
Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
-
D.
Amery
Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
-
E.
Rusa
Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
- 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: Perusia Triple: [Clusium, nearbyAncientCity, Perusia]
Generated description
Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perusia Target entity description: Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
-
A.
Russas
Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
-
B.
Usan
Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
-
C.
Umma
Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
-
D.
Amery
Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
-
E.
Rusa
Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505bff588190919a4ef547f607c2 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c657b08190b96135c34622e559 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5bba7859481909e2afe21774dc599 |
completed | March 14, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5bc5f26508190b333ec09c517f7c8 |
completed | March 14, 2026, 7:51 p.m. |
Created at: March 12, 2026, 11:07 p.m.