Triple

T5792213
Position Surface form Disambiguated ID Type / Status
Subject Persian carpet E128421 entity
Predicate hasKnotType P65863 FINISHED
Object Senneh knot
The Senneh knot is an asymmetrical Persian rug knotting technique known for enabling highly detailed and finely woven carpet designs.
E546431 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: Senneh knot | Statement: [Persian carpet, hasKnotType, Senneh knot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senneh knot
Context triple: [Persian carpet, hasKnotType, Senneh knot]
  • A. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • B. De Wood
    De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
  • C. Sakao
    Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
  • D. Sękowa
    Sękowa is a village in southern Poland known for its historic wooden Church of St. Philip and St. James, one of the region’s notable architectural landmarks.
  • E. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • 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: Senneh knot
Triple: [Persian carpet, hasKnotType, Senneh knot]
Generated description
The Senneh knot is an asymmetrical Persian rug knotting technique known for enabling highly detailed and finely woven carpet designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Senneh knot
Target entity description: The Senneh knot is an asymmetrical Persian rug knotting technique known for enabling highly detailed and finely woven carpet designs.
  • A. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • B. De Wood
    De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
  • C. Sakao
    Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
  • D. Sękowa
    Sękowa is a village in southern Poland known for its historic wooden Church of St. Philip and St. James, one of the region’s notable architectural landmarks.
  • E. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03360749481908d42fde7a74a754f completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09824c7f0819095565e0f29b3a508 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098a0325c81909a1326b94e40ed50 completed March 23, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69c09943deec819085992c4e44050a34 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:51 p.m.