Triple

T12967160
Position Surface form Disambiguated ID Type / Status
Subject Muğla Province E321290 entity
Predicate contains P35 FINISHED
Object Ula
Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
E1013193 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: Ula | Statement: [Muğla Province, contains, Ula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ula
Context triple: [Muğla Province, contains, Ula]
  • A. Ule
    Ule is a short form of the German given name Ulrich, often used as a familiar or affectionate nickname.
  • B. Ulassai
    Ulassai is a small mountain village in central-eastern Sardinia, Italy, known for its dramatic limestone cliffs, waterfalls, and contemporary art installations linked to artist Maria Lai.
  • C. Uslar
    Uslar is a small town in Lower Saxony, Germany, known for its location in the Weser Uplands and its traditional half-timbered architecture.
  • D. Ukiel
    Ukiel is a prominent lake near the city of Olsztyn in northern Poland, known for its recreational opportunities and scenic surroundings.
  • E. Uzal
    Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
  • 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: Ula
Triple: [Muğla Province, contains, Ula]
Generated description
Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ula
Target entity description: Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
  • A. Ule
    Ule is a short form of the German given name Ulrich, often used as a familiar or affectionate nickname.
  • B. Ulassai
    Ulassai is a small mountain village in central-eastern Sardinia, Italy, known for its dramatic limestone cliffs, waterfalls, and contemporary art installations linked to artist Maria Lai.
  • C. Uslar
    Uslar is a small town in Lower Saxony, Germany, known for its location in the Weser Uplands and its traditional half-timbered architecture.
  • D. Ukiel
    Ukiel is a prominent lake near the city of Olsztyn in northern Poland, known for its recreational opportunities and scenic surroundings.
  • E. Uzal
    Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e4e1a48190b8f7253717746295 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9db8164819086a3a27692d681d5 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb337b708190a874cec01d588236 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 8:30 p.m.