Triple

T17616351
Position Surface form Disambiguated ID Type / Status
Subject Alanya E429092 entity
Predicate hasLandmark P105 FINISHED
Object Red Tower
Red Tower is a historic 13th-century octagonal defense tower and iconic symbol of the coastal city of Alanya in southern Turkey.
 E1277935 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: Red Tower | Statement: [Alanya, hasLandmark, Red Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Tower
Context triple: [Alanya, hasLandmark, Red Tower]
  • A. Red Tower
    Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
  • B. Red Tower
    Red Tower is a historic defensive tower incorporated into the medieval city walls of York, England.
  • C. The Red Tower
    The Red Tower is a metaphysical painting by Giorgio de Chirico that exemplifies his enigmatic cityscapes with stark architecture, long shadows, and a dreamlike, unsettling atmosphere.
  • D. Red Tower of Death
    Red Tower of Death is a notorious historical structure in the Czech Republic associated with harsh imprisonment and executions during the communist era.
  • E. The Black Prism
    The Black Prism is the first novel in Brent Weeks' epic fantasy Lightbringer series, introducing a world where magic is based on the manipulation of light and color.
  • 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: Red Tower
Triple: [Alanya, hasLandmark, Red Tower]
Generated description
Red Tower is a historic 13th-century octagonal defense tower and iconic symbol of the coastal city of Alanya in southern Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Red Tower
Target entity description: Red Tower is a historic 13th-century octagonal defense tower and iconic symbol of the coastal city of Alanya in southern Turkey.
  • A. Red Tower
    Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
  • B. Red Tower
    Red Tower is a historic defensive tower incorporated into the medieval city walls of York, England.
  • C. The Red Tower
    The Red Tower is a metaphysical painting by Giorgio de Chirico that exemplifies his enigmatic cityscapes with stark architecture, long shadows, and a dreamlike, unsettling atmosphere.
  • D. Red Tower of Death
    Red Tower of Death is a notorious historical structure in the Czech Republic associated with harsh imprisonment and executions during the communist era.
  • E. The Black Prism
    The Black Prism is the first novel in Brent Weeks' epic fantasy Lightbringer series, introducing a world where magic is based on the manipulation of light and color.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d32991c81909801161b0a416c94 completed April 19, 2026, 5:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e82849748190a6ce3a1f7a7fc77b completed May 11, 2026, 2:31 p.m.
NEDg Description generation batch_6a01ecfb2ff4819082f67ab1f2ce8885 completed May 11, 2026, 2:51 p.m.
NED2 Entity disambiguation (via description) batch_6a01ee0c03e881908aaaa3bd0f596387 completed May 11, 2026, 2:56 p.m.
Created at: April 10, 2026, 5:51 a.m.