Triple

T9517613
Position Surface form Disambiguated ID Type / Status
Subject Koura District E229563 entity
Predicate hasTown P847 FINISHED
Object Kfarhazir
Kfarhazir is a village in northern Lebanon known for its scenic hilltop location and traditional Lebanese rural character.
E804420 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: Kfarhazir | Statement: [Koura District, hasTown, Kfarhazir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kfarhazir
Context triple: [Koura District, hasTown, Kfarhazir]
  • A. Kfar Shmaryahu
    Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
  • B. Kfar HaOrenim
    Kfar HaOrenim is an Israeli locality whose name is used as an alternative designation for the place known in some contexts as Oswiecim, Israel.
  • C. Kfar Gamla
    Kfar Gamla is an ancient village in the Holy Land traditionally associated with the discovery of relics attributed to Saint Stephen, the first Christian martyr.
  • D. Kfar Malal
    Kfar Malal is a moshav in central Israel known as the birthplace of former Prime Minister and military leader Ariel Sharon.
  • E. Kiryat Ata
    Kiryat Ata is a city in northern Israel that forms part of the Haifa metropolitan area and serves as a local commercial and residential center.
  • 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: Kfarhazir
Triple: [Koura District, hasTown, Kfarhazir]
Generated description
Kfarhazir is a village in northern Lebanon known for its scenic hilltop location and traditional Lebanese rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kfarhazir
Target entity description: Kfarhazir is a village in northern Lebanon known for its scenic hilltop location and traditional Lebanese rural character.
  • A. Kfar Shmaryahu
    Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
  • B. Kfar HaOrenim
    Kfar HaOrenim is an Israeli locality whose name is used as an alternative designation for the place known in some contexts as Oswiecim, Israel.
  • C. Kfar Gamla
    Kfar Gamla is an ancient village in the Holy Land traditionally associated with the discovery of relics attributed to Saint Stephen, the first Christian martyr.
  • D. Kfar Malal
    Kfar Malal is a moshav in central Israel known as the birthplace of former Prime Minister and military leader Ariel Sharon.
  • E. Kiryat Ata
    Kiryat Ata is a city in northern Israel that forms part of the Haifa metropolitan area and serves as a local commercial and residential center.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9880417c819097dde277988df36d completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a4aeb008190ae5d54367efe2722 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c78d6108190ad2cab79070077a8 completed April 4, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_69d13d2aac8c8190a00c8fe820baa732 completed April 4, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:59 p.m.