Triple

T5000583
Position Surface form Disambiguated ID Type / Status
Subject Lilaea E112361 entity
Predicate hasNameForm P19207 FINISHED
Object Λίλαια
Λίλαια is the Greek name for Lilaea, an ancient town and sanctuary site in Phocis, central Greece, associated with the worship of local deities and springs.
 E484000 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: Λίλαια | Statement: [Lilaea, hasNameForm, Λίλαια]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Λίλαια
Context triple: [Lilaea, hasNameForm, Λίλαια]
  • A. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • B. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • C. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • 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: Λίλαια
Triple: [Lilaea, hasNameForm, Λίλαια]
Generated description
Λίλαια is the Greek name for Lilaea, an ancient town and sanctuary site in Phocis, central Greece, associated with the worship of local deities and springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Λίλαια
Target entity description: Λίλαια is the Greek name for Lilaea, an ancient town and sanctuary site in Phocis, central Greece, associated with the worship of local deities and springs.
  • A. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • B. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • C. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72bd90948190bf6ca21237402949 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a3a5a108190a028920b1ae0be7a completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8afcf5f0819094fd6351a8f377cc completed March 21, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_69be8b81fa0c8190bd70baa628e85123 completed March 21, 2026, 12:13 p.m.
Created at: March 20, 2026, 1:34 p.m.