Triple

T19171062
Position Surface form Disambiguated ID Type / Status
Subject Mehmed Talat Pasha E469320 entity
Predicate familyName P18 FINISHED
Object Talat
Talat is a surname most notably associated with Mehmed Talat Pasha, an Ottoman statesman and one of the principal leaders of the late Ottoman Empire.
 E1360602 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: Talat | Statement: [Mehmed Talat Pasha, familyName, Talat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talat
Context triple: [Mehmed Talat Pasha, familyName, Talat]
  • A. Talgut
    Talgut is a locality or neighborhood that forms part of the municipality of Ittigen in the canton of Bern, Switzerland.
  • B. Taybad
    Taybad is a city in northeastern Iran near the Afghan border, known as a local commercial and transit hub within Razavi Khorasan Province.
  • C. Tura
    Tura is a remote urban-type settlement in central Siberia, Russia, historically serving as an administrative center in the Evenk region.
  • D. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • E. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian 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: Talat
Triple: [Mehmed Talat Pasha, familyName, Talat]
Generated description
Talat is a surname most notably associated with Mehmed Talat Pasha, an Ottoman statesman and one of the principal leaders of the late Ottoman Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talat
Target entity description: Talat is a surname most notably associated with Mehmed Talat Pasha, an Ottoman statesman and one of the principal leaders of the late Ottoman Empire.
  • A. Talgut
    Talgut is a locality or neighborhood that forms part of the municipality of Ittigen in the canton of Bern, Switzerland.
  • B. Taybad
    Taybad is a city in northeastern Iran near the Afghan border, known as a local commercial and transit hub within Razavi Khorasan Province.
  • C. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • D. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • E. Tura
    Tura is a remote urban-type settlement in central Siberia, Russia, historically serving as an administrative center in the Evenk region.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f163c5888190b4880471d17b4f51 completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f264a508819089fb693b77fd6428 completed May 15, 2026, 10:16 a.m.
NEDg Description generation batch_6a06f34a4f1c8190b08e2ecddcdf2c27 completed May 15, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a06f3d5b3408190b5fe843039dd8a74 completed May 15, 2026, 10:22 a.m.
Created at: April 10, 2026, 12:06 p.m.