Triple

T2612746
Position Surface form Disambiguated ID Type / Status
Subject Dardanus E58813 entity
Predicate spouse P13 FINISHED
Object Batea
Batea is a figure in Greek mythology, often depicted as a Trojan princess or queen associated with the early royal lineage of Dardania.
 E281618 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: Batea | Statement: [Dardanus, spouse, Batea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Batea
Context triple: [Dardanus, spouse, Batea]
  • A. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • B. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. Aranzazu
    Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
  • E. Getaria
    Getaria is a coastal town in Spain’s Basque Country, known as the birthplace of explorer Juan Sebastián Elcano and for its fishing heritage and txakoli wine.
  • 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: Batea
Triple: [Dardanus, spouse, Batea]
Generated description
Batea is a figure in Greek mythology, often depicted as a Trojan princess or queen associated with the early royal lineage of Dardania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Batea
Target entity description: Batea is a figure in Greek mythology, often depicted as a Trojan princess or queen associated with the early royal lineage of Dardania.
  • A. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • B. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. Aranzazu
    Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
  • E. Getaria
    Getaria is a coastal town in Spain’s Basque Country, known as the birthplace of explorer Juan Sebastián Elcano and for its fishing heritage and txakoli wine.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87c5fec8190a428b94b90265352 completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83e816808190aa2c91801fd3c6c7 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af8543a7808190968a474e64531fbd completed March 10, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69af85b60fd48190a61a3c4a73984b21 completed March 10, 2026, 2:45 a.m.
Created at: March 6, 2026, 9:50 p.m.