Triple

T16532570
Position Surface form Disambiguated ID Type / Status
Subject Oued Tinja E401602 entity
Predicate hasNameInLanguage P15 FINISHED
Object وادي تنجة@ar
وادي تنجة هو مجرى مائي/وادي يقع في منطقة تنجة ويُعد من المعالم الطبيعية المحلية في تلك الجهة.
 E1218328 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: وادي تنجة@ar | Statement: [Oued Tinja, hasNameInLanguage, وادي تنجة@ar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: وادي تنجة@ar
Context triple: [Oued Tinja, hasNameInLanguage, وادي تنجة@ar]
  • A. Wadi
    Wadi is a major railway junction town in Karnataka, India, known for its strategic location on key rail routes and its nearby limestone and cement industries.
  • B. Wadi Al-Fara
    Wadi Al-Fara is a town in Saudi Arabia’s Al Madinah Province, known for its location along a seasonal valley (wadi) in the western part of the country.
  • C. Wadi al-Khaznadar
    Wadi al-Khaznadar is a valley in Syria known as the site of a major 13th-century battle between Mamluk and Mongol forces.
  • D. Wadi Fira
    Wadi Fira is an administrative region in eastern Chad known for its arid Sahelian landscape and predominantly rural population.
  • E. Wadi Adhana
    Wadi Adhana is a seasonal river valley in Yemen that serves as the main watercourse impounded by the historic Marib Dam.
  • 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: وادي تنجة@ar
Triple: [Oued Tinja, hasNameInLanguage, وادي تنجة@ar]
Generated description
وادي تنجة هو مجرى مائي/وادي يقع في منطقة تنجة ويُعد من المعالم الطبيعية المحلية في تلك الجهة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: وادي تنجة@ar
Target entity description: وادي تنجة هو مجرى مائي/وادي يقع في منطقة تنجة ويُعد من المعالم الطبيعية المحلية في تلك الجهة.
  • A. Wadi
    Wadi is a major railway junction town in Karnataka, India, known for its strategic location on key rail routes and its nearby limestone and cement industries.
  • B. Wadi Al-Fara
    Wadi Al-Fara is a town in Saudi Arabia’s Al Madinah Province, known for its location along a seasonal valley (wadi) in the western part of the country.
  • C. Wadi al-Khaznadar
    Wadi al-Khaznadar is a valley in Syria known as the site of a major 13th-century battle between Mamluk and Mongol forces.
  • D. Wadi Fira
    Wadi Fira is an administrative region in eastern Chad known for its arid Sahelian landscape and predominantly rural population.
  • E. Wadi Adhana
    Wadi Adhana is a seasonal river valley in Yemen that serves as the main watercourse impounded by the historic Marib Dam.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed97b0881909de106418aca8180 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00609129808190b893346e06deb944 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0061d3e42c819092d4ece63661a327 completed May 10, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a00625771e88190ac355bbddb9b38ed completed May 10, 2026, 10:47 a.m.
Created at: April 10, 2026, 5:15 a.m.