Triple

T22619959
Position Surface form Disambiguated ID Type / Status
Subject Heybeliada E558247 entity
Predicate hasHighestPoint P210 FINISHED
Object Ümit Tepesi
Ümit Tepesi is the highest hill on Heybeliada, one of Istanbul’s Princes’ Islands in the Sea of Marmara.
E1545776 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: Ümit Tepesi | Statement: [Heybeliada, hasHighestPoint, Ümit Tepesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ümit Tepesi
Context triple: [Heybeliada, hasHighestPoint, Ümit Tepesi]
  • A. Yıldıztepe
    Yıldıztepe was one of the local Turkish football clubs that merged to form Eskişehirspor.
  • B. Hayrettin Tepe
    Hayrettin Tepe is a Turkish entrepreneur best known for establishing and leading the Tepe Group business conglomerate.
  • C. Savaştepe
    Savaştepe is a town and district in western Turkey, located within the Marmara Region.
  • D. Sancaktepe
    Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
  • E. Ayasuluk Hill
    Ayasuluk Hill is a historic hill in Selçuk, Turkey, known as the site of ancient Ephesus’s acropolis and several important Byzantine and Ottoman monuments.
  • 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: Ümit Tepesi
Triple: [Heybeliada, hasHighestPoint, Ümit Tepesi]
Generated description
Ümit Tepesi is the highest hill on Heybeliada, one of Istanbul’s Princes’ Islands in the Sea of Marmara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ümit Tepesi
Target entity description: Ümit Tepesi is the highest hill on Heybeliada, one of Istanbul’s Princes’ Islands in the Sea of Marmara.
  • A. Yıldıztepe
    Yıldıztepe was one of the local Turkish football clubs that merged to form Eskişehirspor.
  • B. Hayrettin Tepe
    Hayrettin Tepe is a Turkish entrepreneur best known for establishing and leading the Tepe Group business conglomerate.
  • C. Savaştepe
    Savaştepe is a town and district in western Turkey, located within the Marmara Region.
  • D. Sancaktepe
    Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
  • E. Ayasuluk Hill
    Ayasuluk Hill is a historic hill in Selçuk, Turkey, known as the site of ancient Ephesus’s acropolis and several important Byzantine and Ottoman monuments.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e383b048190a432c540185916d0 completed April 29, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4e037bf8819087bc71af425e794b completed May 18, 2026, 5:36 p.m.
NEDg Description generation batch_6a0b4f5425d88190b986e5fd657beca7 completed May 18, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a0b502d7148819081b635e9ef3be1d1 completed May 18, 2026, 5:45 p.m.
Created at: April 17, 2026, 3 p.m.