Triple

T20052618
Position Surface form Disambiguated ID Type / Status
Subject Maaloula E499240 entity
Predicate nearbySettlements P138521 FINISHED
Object Yabroud
Yabroud is an ancient town in southwestern Syria, known for its archaeological sites and historic churches and mosques.
 E1410426 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: Yabroud | Statement: [Maaloula, nearbySettlements, Yabroud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yabroud
Context triple: [Maaloula, nearbySettlements, Yabroud]
  • A. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • B. Naqoura
    Naqoura is a coastal town in southern Lebanon that serves as a strategic location and headquarters for the United Nations Interim Force in Lebanon (UNIFIL).
  • C. Amdoun
    Amdoun is a small town in northwestern Tunisia, located within the Béja Governorate and known for its agricultural surroundings and proximity to the Khroumirie mountains.
  • D. Ayn al-Jarr
    Ayn al-Jarr is the ancient spring whose name is believed to have given rise to the name of the Lebanese town of Anjar.
  • E. Salfit
    Salfit is a Palestinian city in the central West Bank that serves as the administrative center of the Salfit Governorate.
  • 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: Yabroud
Triple: [Maaloula, nearbySettlements, Yabroud]
Generated description
Yabroud is an ancient town in southwestern Syria, known for its archaeological sites and historic churches and mosques.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yabroud
Target entity description: Yabroud is an ancient town in southwestern Syria, known for its archaeological sites and historic churches and mosques.
  • A. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • B. Naqoura
    Naqoura is a coastal town in southern Lebanon that serves as a strategic location and headquarters for the United Nations Interim Force in Lebanon (UNIFIL).
  • C. Amdoun
    Amdoun is a small town in northwestern Tunisia, located within the Béja Governorate and known for its agricultural surroundings and proximity to the Khroumirie mountains.
  • D. Ayn al-Jarr
    Ayn al-Jarr is the ancient spring whose name is believed to have given rise to the name of the Lebanese town of Anjar.
  • E. Salfit
    Salfit is a Palestinian city in the central West Bank that serves as the administrative center of the Salfit Governorate.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6633043a481908359ad232607182a completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f31fcd88190a7ad0461610ebf57 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081fbb7f208190a032f9f312fd07de completed May 16, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a08208c203c819083abea34d10d5e4e completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 3:38 p.m.