Triple

T17086906
Position Surface form Disambiguated ID Type / Status
Subject El-Wad Street E414621 entity
Predicate hasNameInArabic P6450 FINISHED
Object حارة الواد
حارة الواد هو أحد أهم شوارع البلدة القديمة في القدس، يتميز بأزقته الضيقة وحركته التجارية وتاريخه العريق المرتبط بالمقدسات الإسلامية والمسيحية واليهودية.
 E1249101 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: حارة الواد | Statement: [El-Wad Street, hasNameInArabic, حارة الواد]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: حارة الواد
Context triple: [El-Wad Street, hasNameInArabic, حارة الواد]
  • A. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • B. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Mesaieed
    Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
  • D. Waghala
    Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
  • E. Al-Ahqaf
    Al-Ahqaf is the 46th chapter of the Qur’an, known for addressing themes of monotheism, prophecy, and the fate of past nations such as the people of ‘Ad.
  • 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: حارة الواد
Triple: [El-Wad Street, hasNameInArabic, حارة الواد]
Generated description
حارة الواد هو أحد أهم شوارع البلدة القديمة في القدس، يتميز بأزقته الضيقة وحركته التجارية وتاريخه العريق المرتبط بالمقدسات الإسلامية والمسيحية واليهودية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: حارة الواد
Target entity description: حارة الواد هو أحد أهم شوارع البلدة القديمة في القدس، يتميز بأزقته الضيقة وحركته التجارية وتاريخه العريق المرتبط بالمقدسات الإسلامية والمسيحية واليهودية.
  • A. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • B. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Mesaieed
    Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
  • D. Waghala
    Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
  • E. Al-Ahqaf
    Al-Ahqaf is the 46th chapter of the Qur’an, known for addressing themes of monotheism, prophecy, and the fate of past nations such as the people of ‘Ad.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe7ccb48190b8fb39e2a0ba0782 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee651ec8190a37c5997f394d24b completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012ff7788c819086b2e6c0e382014c completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:35 a.m.