Triple

T3470776
Position Surface form Disambiguated ID Type / Status
Subject Taganrog E73252 entity
Predicate hasLandmark P105 FINISHED
Object Taganrog quay
Taganrog quay is a prominent waterfront promenade and recreational area in the port city of Taganrog on the Sea of Azov.
 E73252 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: Taganrog quay | Statement: [Taganrog, hasLandmark, Taganrog quay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taganrog quay
Context triple: [Taganrog, hasLandmark, Taganrog quay]
  • A. Taganrog
    Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
  • B. Sovetskaya Gavan
    Sovetskaya Gavan is a port town on the Strait of Tartary in Russia’s Far East, serving as an important maritime and transport hub in Khabarovsk Krai.
  • C. Bakhchisarai
    Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
  • D. Gelendzhik
    Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
  • E. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • 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: Taganrog quay
Triple: [Taganrog, hasLandmark, Taganrog quay]
Generated description
Taganrog quay is a prominent waterfront promenade and recreational area in the port city of Taganrog on the Sea of Azov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taganrog quay
Target entity description: Taganrog quay is a prominent waterfront promenade and recreational area in the port city of Taganrog on the Sea of Azov.
  • A. Taganrog chosen
    Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
  • B. Sovetskaya Gavan
    Sovetskaya Gavan is a port town on the Strait of Tartary in Russia’s Far East, serving as an important maritime and transport hub in Khabarovsk Krai.
  • C. Bakhchisarai
    Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
  • D. Gelendzhik
    Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
  • E. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • F. None of above.

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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3af0cc81909e575828caeaeae0 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680dd2c48190a06c5c320a06a71a completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b36937ac4481909e1c90912b70e886 completed March 13, 2026, 1:32 a.m.
NED2 Entity disambiguation (via description) batch_69b36997650c8190be5e9c78b5174187 completed March 13, 2026, 1:34 a.m.
Created at: March 8, 2026, 3:17 p.m.