Triple

T13917412
Position Surface form Disambiguated ID Type / Status
Subject Otrar E334657 entity
Predicate alsoKnownAs P39 FINISHED
Object Turarband
Turarband is an alternative historical name for Otrar, an ancient Silk Road city in present-day Kazakhstan known for its strategic and cultural significance.
E1070304 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: Turarband | Statement: [Otrar, alsoKnownAs, Turarband]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turarband
Context triple: [Otrar, alsoKnownAs, Turarband]
  • A. Tarkarli
    Tarkarli is a coastal village in Maharashtra, India, known for its pristine beaches, clear waters, and popular scuba diving and snorkeling spots.
  • B. Tibarg
    Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
  • C. Shandar
    Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
  • D. Tashir
    Tashir is a small town located in Armenia’s northern Lori Province.
  • E. Tarbatu
    Tarbatu is a historical name for the Estonian city of Tartu, one of the country’s oldest and most important cultural and educational centers.
  • 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: Turarband
Triple: [Otrar, alsoKnownAs, Turarband]
Generated description
Turarband is an alternative historical name for Otrar, an ancient Silk Road city in present-day Kazakhstan known for its strategic and cultural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Turarband
Target entity description: Turarband is an alternative historical name for Otrar, an ancient Silk Road city in present-day Kazakhstan known for its strategic and cultural significance.
  • A. Tarkarli
    Tarkarli is a coastal village in Maharashtra, India, known for its pristine beaches, clear waters, and popular scuba diving and snorkeling spots.
  • B. Tibarg
    Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
  • C. Shandar
    Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
  • D. Tashir
    Tashir is a small town located in Armenia’s northern Lori Province.
  • E. Tarbatu
    Tarbatu is a historical name for the Estonian city of Tartu, one of the country’s oldest and most important cultural and educational centers.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de272753e48190bc609482635280ff completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7a1c388190a57dfdbbb732bbcb completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd56da288190b2bd33bc496c3fb9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb039fdb1c8190ad5286d1cfe80a29 completed May 6, 2026, 9:02 a.m.
Created at: April 9, 2026, 10:16 p.m.