Triple

T1734724
Position Surface form Disambiguated ID Type / Status
Subject Hittite Empire E37895 entity
Predicate majorCity P316 FINISHED
Object Tarhuntassa
Tarhuntassa was an important Late Bronze Age city in southern Anatolia that briefly served as a secondary capital of the Hittite Empire.
 E195341 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: Tarhuntassa | Statement: [Hittite Empire, majorCity, Tarhuntassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarhuntassa
Context triple: [Hittite Empire, majorCity, Tarhuntassa]
  • A. Tarasicodissa
    Tarasicodissa was the original name of the Eastern Roman emperor Zeno, who ruled from 474 to 491 AD.
  • B. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • C. Taltal
    Taltal is a coastal city in northern Chile known for its historic mining activity and proximity to the Atacama Desert.
  • D. Uralla
    Uralla is a historic rural town in northern New South Wales, Australia, known for its heritage streetscapes, cool New England climate, and surrounding grazing and granite country.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • 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: Tarhuntassa
Triple: [Hittite Empire, majorCity, Tarhuntassa]
Generated description
Tarhuntassa was an important Late Bronze Age city in southern Anatolia that briefly served as a secondary capital of the Hittite Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarhuntassa
Target entity description: Tarhuntassa was an important Late Bronze Age city in southern Anatolia that briefly served as a secondary capital of the Hittite Empire.
  • A. Tarasicodissa
    Tarasicodissa was the original name of the Eastern Roman emperor Zeno, who ruled from 474 to 491 AD.
  • B. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • C. Taltal
    Taltal is a coastal city in northern Chile known for its historic mining activity and proximity to the Atacama Desert.
  • D. Uralla
    Uralla is a historic rural town in northern New South Wales, Australia, known for its heritage streetscapes, cool New England climate, and surrounding grazing and granite country.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a2168c819093d302632ff4b7c2 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d999148190a889f761af05f431 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada207c50881909729bf565c2af9dd completed March 8, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69ada2c607fc819089d276ae9eca82a4 completed March 8, 2026, 4:24 p.m.
Created at: March 4, 2026, 7:30 p.m.