Triple

T9476449
Position Surface form Disambiguated ID Type / Status
Subject Safahat E228527 entity
Predicate hasPart P35 FINISHED
Object Âsım
Âsım is a long narrative poem by Turkish poet Mehmet Âkif Ersoy, included as one of the books in his celebrated poetry collection Safahat.
 E801219 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: Âsım | Statement: [Safahat, hasPart, Âsım]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Âsım
Context triple: [Safahat, hasPart, Âsım]
  • A. Asmalı
    Asmalı is a small settlement located on Marmara Island in Turkey’s Sea of Marmara.
  • B. Dursun
    Dursun is a Turkish masculine given name commonly borne by several notable figures in sports, politics, and public life in Turkey.
  • C. Ahmet
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • D. Mahmut
    Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
  • E. May Arslan
    May Arslan was a Lebanese Druze aristocrat and political figure, best known as the wife of Druze leader Kamal Jumblatt and mother of politician Walid Jumblatt.
  • 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: Âsım
Triple: [Safahat, hasPart, Âsım]
Generated description
Âsım is a long narrative poem by Turkish poet Mehmet Âkif Ersoy, included as one of the books in his celebrated poetry collection Safahat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Âsım
Target entity description: Âsım is a long narrative poem by Turkish poet Mehmet Âkif Ersoy, included as one of the books in his celebrated poetry collection Safahat.
  • A. Asmalı
    Asmalı is a small settlement located on Marmara Island in Turkey’s Sea of Marmara.
  • B. Dursun
    Dursun is a Turkish masculine given name commonly borne by several notable figures in sports, politics, and public life in Turkey.
  • C. Ahmet
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • D. Mahmut
    Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
  • E. May Arslan
    May Arslan was a Lebanese Druze aristocrat and political figure, best known as the wife of Druze leader Kamal Jumblatt and mother of politician Walid Jumblatt.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd80127744819082176b2d4417216e completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122dbd4948190af434d1e0a281f35 completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d124e924d4819093fc8fea75cce4cb completed April 4, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_69d1253e56b4819096a38ffd094af266 completed April 4, 2026, 2:50 p.m.
Created at: March 30, 2026, 7:54 p.m.