Triple

T565559
Position Surface form Disambiguated ID Type / Status
Subject Echo Stoa E13544 entity
Predicate locatedIn P40 FINISHED
Object Elis
Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
 E71370 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: Elis | Statement: [Echo Stoa, locatedIn, Elis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elis
Context triple: [Echo Stoa, locatedIn, Elis]
  • A. Elia
    Elia is a given name most notably associated with influential film and theatre director Elia Kazan.
  • B. Elisa
    Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
  • C. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • D. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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: Elis
Triple: [Echo Stoa, locatedIn, Elis]
Generated description
Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elis
Target entity description: Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
  • A. Elia
    Elia is a given name most notably associated with influential film and theatre director Elia Kazan.
  • B. Elisa
    Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
  • C. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • D. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a74793481908fee3baff0b1d348 completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4fc81d6d4819090d91560efaa085d completed March 2, 2026, 2:57 a.m.
NEDg Description generation batch_69a4fd3e91ec819081f8dadcef388ef5 completed March 2, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69a4fda77c8c8190bdbb6b06a9923f54 completed March 2, 2026, 3:01 a.m.
Created at: March 1, 2026, 7:32 p.m.