Triple

T3846394
Position Surface form Disambiguated ID Type / Status
Subject Cerveteri E93579 entity
Predicate historicalName P65 FINISHED
Object Cisra
Cisra is the ancient Etruscan city that later became known as Cerveteri in central Italy.
 E394011 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: Cisra | Statement: [Cerveteri, historicalName, Cisra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cisra
Context triple: [Cerveteri, historicalName, Cisra]
  • A. Crisa
    Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
  • B. Sirianni
    Sirianni is an Italian-origin surname borne by various individuals, including American football coach Nick Sirianni.
  • C. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • D. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • E. Hantescire
    Hantescire is the Old English name historically used for the English county now known as Hampshire.
  • 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: Cisra
Triple: [Cerveteri, historicalName, Cisra]
Generated description
Cisra is the ancient Etruscan city that later became known as Cerveteri in central Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cisra
Target entity description: Cisra is the ancient Etruscan city that later became known as Cerveteri in central Italy.
  • A. Crisa
    Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
  • B. Sirianni
    Sirianni is an Italian-origin surname borne by various individuals, including American football coach Nick Sirianni.
  • C. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • D. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • E. Hantescire
    Hantescire is the Old English name historically used for the English county now known as Hampshire.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb77a488190be7fc2a1211f1f2d completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50414acdc81909bf0b62afa3fe536 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50585106c8190aaa1c47b397543ea completed March 14, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_69b50707d6a4819097f2bca0ebe663b1 completed March 14, 2026, 6:58 a.m.
Created at: March 9, 2026, 3:18 p.m.