Triple

T15069577
Position Surface form Disambiguated ID Type / Status
Subject Eduard Totleben E379839 entity
Predicate placeOfBirth P1 FINISHED
Object Mītava
Mītava is the historical name of Jelgava, a city in present-day Latvia that was an important administrative and cultural center in the Baltic region.
E1135608 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: Mītava | Statement: [Eduard Totleben, placeOfBirth, Mītava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mītava
Context triple: [Eduard Totleben, placeOfBirth, Mītava]
  • A. Makrinitsa
    Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
  • B. Mossovy
    Mossovy is a remote, sparsely known northern region in the world of A Song of Ice and Fire, lying beyond the more familiar lands of Westeros and Essos.
  • C. Loznitsa
    Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • D. Terebovlia
    Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
  • E. Orlovets
    Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
  • 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: Mītava
Triple: [Eduard Totleben, placeOfBirth, Mītava]
Generated description
Mītava is the historical name of Jelgava, a city in present-day Latvia that was an important administrative and cultural center in the Baltic region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mītava
Target entity description: Mītava is the historical name of Jelgava, a city in present-day Latvia that was an important administrative and cultural center in the Baltic region.
  • A. Makrinitsa
    Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
  • B. Mossovy
    Mossovy is a remote, sparsely known northern region in the world of A Song of Ice and Fire, lying beyond the more familiar lands of Westeros and Essos.
  • C. Loznitsa
    Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • D. Terebovlia
    Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
  • E. Orlovets
    Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cd4b6c8190aa9ff73d5be31864 completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea8e838b4819091e0a3d099c49059 completed May 9, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69fea986e0dc8190a56e71288c6a7ef4 completed May 9, 2026, 3:27 a.m.
Created at: April 10, 2026, 3:02 a.m.