Triple

T5607313
Position Surface form Disambiguated ID Type / Status
Subject Nestlé Waters E147264 entity
Predicate brandPortfolioIncludes P18121 FINISHED
Object Al Manhal
Al Manhal is a bottled drinking water brand marketed in the Middle East under Nestlé Waters’ portfolio.
 E527911 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: Al Manhal | Statement: [Nestlé Waters, brandPortfolioIncludes, Al Manhal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al Manhal
Context triple: [Nestlé Waters, brandPortfolioIncludes, Al Manhal]
  • A. Al Muntaha
    Al Muntaha is a fine-dining restaurant located near the top of Dubai’s iconic Burj Al Arab, known for its upscale cuisine and panoramic views of the city and Persian Gulf.
  • B. Kom El Shoqafa
    Kom El Shoqafa is an ancient multi-level necropolis in Alexandria, Egypt, renowned for its unique blend of Egyptian, Greek, and Roman architectural and artistic styles.
  • C. Al Zaeem
    Al Zaeem is the famous Arabic nickname for Al Hilal SFC, one of Saudi Arabia’s most successful and popular football clubs.
  • D. Al Mashun
    Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
  • E. Bab as-Silsila
    Bab as-Silsila is one of the historic gates leading into the Al-Aqsa Mosque compound in Jerusalem’s Old City.
  • 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: Al Manhal
Triple: [Nestlé Waters, brandPortfolioIncludes, Al Manhal]
Generated description
Al Manhal is a bottled drinking water brand marketed in the Middle East under Nestlé Waters’ portfolio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al Manhal
Target entity description: Al Manhal is a bottled drinking water brand marketed in the Middle East under Nestlé Waters’ portfolio.
  • A. Al Muntaha
    Al Muntaha is a fine-dining restaurant located near the top of Dubai’s iconic Burj Al Arab, known for its upscale cuisine and panoramic views of the city and Persian Gulf.
  • B. Kom El Shoqafa
    Kom El Shoqafa is an ancient multi-level necropolis in Alexandria, Egypt, renowned for its unique blend of Egyptian, Greek, and Roman architectural and artistic styles.
  • C. Al Zaeem
    Al Zaeem is the famous Arabic nickname for Al Hilal SFC, one of Saudi Arabia’s most successful and popular football clubs.
  • D. Al Mashun
    Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
  • E. Bab as-Silsila
    Bab as-Silsila is one of the historic gates leading into the Al-Aqsa Mosque compound in Jerusalem’s Old City.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fd1b2c81908da154f7e11b90d8 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02878aad8819082d2c8f038b79bc7 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c033e0043881908c9fca5138398188 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c034664c808190b382f7aad0e3149a completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:39 p.m.