Triple

T645258
Position Surface form Disambiguated ID Type / Status
Subject Ankara E11226 entity
Predicate formerName P65 FINISHED
Object Ancyra
Ancyra is the ancient name of the city now known as Ankara, the capital of modern Turkey and a historically significant center in Anatolia.
 E81002 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: Ancyra | Statement: [Ankara, formerName, Ancyra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ancyra
Context triple: [Ankara, formerName, Ancyra]
  • A. Lampsacus
    Lampsacus was an ancient Greek city on the eastern shore of the Hellespont, known as a center of philosophy and culture in classical antiquity.
  • B. Naissus
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • C. Panticapaeum
    Panticapaeum was an important ancient Greek city and trading center on the Cimmerian Bosporus, located where the modern city of Kerch in Crimea now stands.
  • D. Edessa
    Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
  • E. Turkmenabat
    Turkmenabat is one of the largest cities in Turkmenistan, serving as an important industrial, transport, and cultural center in the country’s east near the border with Uzbekistan.
  • 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: Ancyra
Triple: [Ankara, formerName, Ancyra]
Generated description
Ancyra is the ancient name of the city now known as Ankara, the capital of modern Turkey and a historically significant center in Anatolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ancyra
Target entity description: Ancyra is the ancient name of the city now known as Ankara, the capital of modern Turkey and a historically significant center in Anatolia.
  • A. Lampsacus
    Lampsacus was an ancient Greek city on the eastern shore of the Hellespont, known as a center of philosophy and culture in classical antiquity.
  • B. Naissus
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • C. Panticapaeum
    Panticapaeum was an important ancient Greek city and trading center on the Cimmerian Bosporus, located where the modern city of Kerch in Crimea now stands.
  • D. Edessa
    Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
  • E. Turkmenabat
    Turkmenabat is one of the largest cities in Turkmenistan, serving as an important industrial, transport, and cultural center in the country’s east near the border with Uzbekistan.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f19f9a08190b0bf6e19b32427ff completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a580373e3c81909aa9ff50f3b1e781 completed March 2, 2026, 12:19 p.m.
NEDg Description generation batch_69a5833e10bc819091dba5bb5ec9ea85 completed March 2, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69a583a35678819087d440a05c7b636d completed March 2, 2026, 12:33 p.m.
Created at: March 1, 2026, 7:36 p.m.