Triple

T10940868
Position Surface form Disambiguated ID Type / Status
Subject Tunceli Province E258466 entity
Predicate hasDistrict P459 FINISHED
Object Hozat
Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
E895339 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: Hozat | Statement: [Tunceli Province, hasDistrict, Hozat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hozat
Context triple: [Tunceli Province, hasDistrict, Hozat]
  • A. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • B. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • C. Hosle
    Hosle is a residential area and neighborhood located within the municipality of Bærum in Norway.
  • D. Hovet
    Hovet is an indoor ice hockey arena in Stockholm, Sweden, best known as the longtime home venue of Djurgårdens IF's ice hockey team.
  • E. Hetauda
    Hetauda is a major industrial and administrative city in central Nepal that serves as the capital of Bagmati Province.
  • 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: Hozat
Triple: [Tunceli Province, hasDistrict, Hozat]
Generated description
Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hozat
Target entity description: Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
  • A. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • B. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • C. Hosle
    Hosle is a residential area and neighborhood located within the municipality of Bærum in Norway.
  • D. Hovet
    Hovet is an indoor ice hockey arena in Stockholm, Sweden, best known as the longtime home venue of Djurgårdens IF's ice hockey team.
  • E. Hetauda
    Hetauda is a major industrial and administrative city in central Nepal that serves as the capital of Bagmati Province.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c2821c8190a7b08276c4bfbf33 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c0e940081908c84ea4cf3b877fc completed April 17, 2026, 1:56 p.m.
NEDg Description generation batch_69e24541cbb481908f14a9cb2787c118 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f48dc88190af9491e8cdc4a532 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.