Triple

T7470828
Position Surface form Disambiguated ID Type / Status
Subject Grande Comore E176498 entity
Predicate hasCity P316 FINISHED
Object Hahaya
Hahaya is a village on Grande Comore in the Comoros best known for hosting the country’s main international airport.
E667468 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: Hahaya | Statement: [Grande Comore, hasCity, Hahaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hahaya
Context triple: [Grande Comore, hasCity, Hahaya]
  • A. Hassa
    Hassa is a feminine given name of Arabic origin, commonly used in the Gulf region.
  • B. Hawiyah
    Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
  • C. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • D. Hatta
    Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
  • E. Hadibu
    Hadibu is the main town and administrative center of the Yemeni island of Socotra in the Arabian Sea.
  • 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: Hahaya
Triple: [Grande Comore, hasCity, Hahaya]
Generated description
Hahaya is a village on Grande Comore in the Comoros best known for hosting the country’s main international airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hahaya
Target entity description: Hahaya is a village on Grande Comore in the Comoros best known for hosting the country’s main international airport.
  • A. Hassa
    Hassa is a feminine given name of Arabic origin, commonly used in the Gulf region.
  • B. Hawiyah
    Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
  • C. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • D. Hatta
    Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
  • E. Hadibu
    Hadibu is the main town and administrative center of the Yemeni island of Socotra in the Arabian Sea.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f4145d608190bd93239f04f7da41 completed March 27, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8347b36388190989d2bcbe3f747bf completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c836cdb96481908189777a14edb9b4 completed March 28, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_69c8380dc66c81909853a686f32cc725 completed March 28, 2026, 8:20 p.m.
Created at: March 27, 2026, 3:41 p.m.