Triple

T13276119
Position Surface form Disambiguated ID Type / Status
Subject Anjar E316192 entity
Predicate namedAfter P63 FINISHED
Object 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.
E1031763 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: Ayn al-Jarr | Statement: [Anjar, namedAfter, Ayn al-Jarr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayn al-Jarr
Context triple: [Anjar, namedAfter, Ayn al-Jarr]
  • A. Ain al-Tamur
    Ain al-Tamur is a town in central Iraq known for its date palm oases and historical sites, located within the Karbala Governorate.
  • B. 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.
  • C. 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).
  • D. Umm al-Ghanam
    Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
  • E. 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.
  • 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: Ayn al-Jarr
Triple: [Anjar, namedAfter, Ayn al-Jarr]
Generated description
Ayn al-Jarr is the ancient spring whose name is believed to have given rise to the name of the Lebanese town of Anjar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ayn al-Jarr
Target entity description: Ayn al-Jarr is the ancient spring whose name is believed to have given rise to the name of the Lebanese town of Anjar.
  • A. Ain al-Tamur
    Ain al-Tamur is a town in central Iraq known for its date palm oases and historical sites, located within the Karbala Governorate.
  • B. 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.
  • C. 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).
  • D. Umm al-Ghanam
    Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
  • E. 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.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a54ff488190a759b46963c0d842 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f713088cc48190b705336339527f46 completed May 3, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69f713bd94048190a61dbd955bd1c542 completed May 3, 2026, 9:22 a.m.
Created at: April 9, 2026, 9:26 p.m.