Triple

T7264516
Position Surface form Disambiguated ID Type / Status
Subject Mount Lebanon Governorate E159736 entity
Predicate hasMajorCity P316 FINISHED
Object Bhamdoun
Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
E688507 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: Bhamdoun | Statement: [Mount Lebanon Governorate, hasMajorCity, Bhamdoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhamdoun
Context triple: [Mount Lebanon Governorate, hasMajorCity, Bhamdoun]
  • A. Kharbouch
    Kharbouch is the family surname of Moroccan-American rapper and entrepreneur French Montana.
  • B. El Khabouzia
    El Khabouzia is a town and commune located in Bouira Province in northern Algeria.
  • C. Hassouna
    Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
  • D. El Hadaba
    El Hadaba is the famous nickname of Egyptian singer Amr Diab, one of the Arab world's most successful and influential pop music stars.
  • E. Zouerate
    Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
  • 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: Bhamdoun
Triple: [Mount Lebanon Governorate, hasMajorCity, Bhamdoun]
Generated description
Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bhamdoun
Target entity description: Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
  • A. Kharbouch
    Kharbouch is the family surname of Moroccan-American rapper and entrepreneur French Montana.
  • B. El Khabouzia
    El Khabouzia is a town and commune located in Bouira Province in northern Algeria.
  • C. Hassouna
    Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
  • D. El Hadaba
    El Hadaba is the famous nickname of Egyptian singer Amr Diab, one of the Arab world's most successful and influential pop music stars.
  • E. Zouerate
    Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae50e008190a660925074077344 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de8efd648190b70b4299ecae32c7 completed March 29, 2026, 8:10 a.m.
NEDg Description generation batch_69c8deee7b8881909d5012e08c758762 completed March 29, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_69c8dfa7eb9881909e595389bec8436e completed March 29, 2026, 8:15 a.m.
Created at: March 27, 2026, 2:57 p.m.