Triple

T16168747
Position Surface form Disambiguated ID Type / Status
Subject Blemmyes E392376 entity
Predicate capitalOrCenter P16248 FINISHED
Object Talmis
Talmis was an important ancient Nubian city that served as a major political and religious center for the Blemmyes in Lower Nubia.
 E1198332 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: Talmis | Statement: [Blemmyes, capitalOrCenter, Talmis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talmis
Context triple: [Blemmyes, capitalOrCenter, Talmis]
  • A. Tlass
    Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
  • B. Talbo
    Talbo is the surname of Dolly Talbo, a character whose last name identifies her within her fictional or narrative family lineage.
  • C. Tzurulum
    Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
  • D. 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.
  • E. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • 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: Talmis
Triple: [Blemmyes, capitalOrCenter, Talmis]
Generated description
Talmis was an important ancient Nubian city that served as a major political and religious center for the Blemmyes in Lower Nubia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talmis
Target entity description: Talmis was an important ancient Nubian city that served as a major political and religious center for the Blemmyes in Lower Nubia.
  • A. Tlass
    Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
  • B. Talbo
    Talbo is the surname of Dolly Talbo, a character whose last name identifies her within her fictional or narrative family lineage.
  • C. Tzurulum
    Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
  • D. 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.
  • E. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb5e6d881908749683091afa90c completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff9bb09c48190881c0f70bae0aec8 completed May 10, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69fffa5186b88190971d3c5061503541 completed May 10, 2026, 3:24 a.m.
Created at: April 10, 2026, 5:02 a.m.