Triple

T1146533
Position Surface form Disambiguated ID Type / Status
Subject Epidaurus E23578 entity
Predicate locatedIn P40 FINISHED
Object Argolis
Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
 E131460 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: Argolis | Statement: [Epidaurus, locatedIn, Argolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Argolis
Context triple: [Epidaurus, locatedIn, Argolis]
  • A. Quarles
    Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
  • B. Aldridge
    Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
  • C. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • D. Earle
    Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
  • E. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • 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: Argolis
Triple: [Epidaurus, locatedIn, Argolis]
Generated description
Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Argolis
Target entity description: Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
  • A. Quarles
    Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
  • B. Aldridge
    Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
  • C. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • D. Earle
    Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
  • E. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc6e8c2081909fb3534413b7aacb completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb3ec3881908c8cb39b422fcc71 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f248db081908596810839ee6160 completed March 7, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69ac5fb242488190bf99f63956aeda13 completed March 7, 2026, 5:26 p.m.
Created at: March 1, 2026, 7:44 p.m.