Triple

T13047825
Position Surface form Disambiguated ID Type / Status
Subject Aziziye district E327369 entity
Predicate hasCapital P204 FINISHED
Object Ilıca
Ilıca is a town in eastern Turkey that serves as the administrative center of Aziziye district in Erzurum Province.
 E1020881 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: Ilıca | Statement: [Aziziye district, hasCapital, Ilıca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilıca
Context triple: [Aziziye district, hasCapital, Ilıca]
  • A. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • B. Tigheci
    Tigheci is a village located in the Leova District of Moldova.
  • C. Ilava
    Ilava is a small town in northwestern Slovakia known for its historic fortress and role as a regional administrative center.
  • D. Ilerda
    Ilerda was an ancient Iberian and later Roman city in northeastern Spain, strategically located near the River Segre and known today as Lleida.
  • E. Ilok
    Ilok is a historic town in eastern Croatia on the Danube River, known for its medieval fortress, wine production, and position as the country’s easternmost settlement.
  • 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: Ilıca
Triple: [Aziziye district, hasCapital, Ilıca]
Generated description
Ilıca is a town in eastern Turkey that serves as the administrative center of Aziziye district in Erzurum Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilıca
Target entity description: Ilıca is a town in eastern Turkey that serves as the administrative center of Aziziye district in Erzurum Province.
  • A. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • B. Tigheci
    Tigheci is a village located in the Leova District of Moldova.
  • C. Ilava
    Ilava is a small town in northwestern Slovakia known for its historic fortress and role as a regional administrative center.
  • D. Ilerda
    Ilerda was an ancient Iberian and later Roman city in northeastern Spain, strategically located near the River Segre and known today as Lleida.
  • E. Ilok
    Ilok is a historic town in eastern Croatia on the Danube River, known for its medieval fortress, wine production, and position as the country’s easternmost settlement.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9805125e481908ed56f708de98a9e completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fdd04c8190a86dbba1b81c8e6b completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6da5695508190a96ca16a4e5c01ee completed May 3, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6daeae96081908f6d9cda3ff7f961 completed May 3, 2026, 5:19 a.m.
Created at: April 9, 2026, 8:57 p.m.