Triple

T7840362
Position Surface form Disambiguated ID Type / Status
Subject Ghagra E181789 entity
Predicate hasAlternativeName P39 FINISHED
Object Gagra
Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
 E696142 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: Gagra | Statement: [Ghagra, hasAlternativeName, Gagra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gagra
Context triple: [Ghagra, hasAlternativeName, Gagra]
  • A. Ghebala
    Ghebala is a town and commune located within Jijel Province in northeastern Algeria.
  • B. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • C. Sihor
    Sihor is a historic town in Gujarat, India, known for its temples, metalwork, and proximity to the city of Bhavnagar.
  • D. Mehen
    Mehen is an ancient Egyptian protective serpent deity who coils around the sun god Ra to shield him from threats like the chaos serpent Apep.
  • E. Hamamah
    Hamamah was an early African woman in Mecca known primarily as the mother of Bilal ibn Rabah, one of the most famous companions of the Prophet Muhammad and the first muezzin in Islam.
  • 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: Gagra
Triple: [Ghagra, hasAlternativeName, Gagra]
Generated description
Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gagra
Target entity description: Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
  • A. Ghebala
    Ghebala is a town and commune located within Jijel Province in northeastern Algeria.
  • B. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • C. Sihor
    Sihor is a historic town in Gujarat, India, known for its temples, metalwork, and proximity to the city of Bhavnagar.
  • D. Mehen
    Mehen is an ancient Egyptian protective serpent deity who coils around the sun god Ra to shield him from threats like the chaos serpent Apep.
  • E. Hamamah
    Hamamah was an early African woman in Mecca known primarily as the mother of Bilal ibn Rabah, one of the most famous companions of the Prophet Muhammad and the first muezzin in Islam.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aca5e348190bb73fc4748093248 completed March 31, 2026, 5:25 a.m.
NEDg Description generation batch_69cb5def38e88190864d84abd7959aa3 completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:47 p.m.