Triple

T6393434
Position Surface form Disambiguated ID Type / Status
Subject Heineken France E143883 entity
Predicate brandManaged P42952 FINISHED
Object Panach'
Panach' is a French beverage brand known for its low-alcohol beer-based drink typically mixed with lemonade, offering a light and refreshing alternative to traditional beer.
 E590869 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: Panach' | Statement: [Heineken France, brandManaged, Panach']
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Panach'
Context triple: [Heineken France, brandManaged, Panach']
  • A. Panamik
    Panamik is a remote village in India’s Ladakh region, known for its hot springs and scenic location in the Nubra Valley near the Siachen Glacier.
  • B. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • C. Pitadeniya
    Pitadeniya is a village and gateway area in southern Sri Lanka that serves as a main entry point for visitors to the Sinharaja Forest Reserve.
  • D. Pamankada
    Pamankada is a residential and commercial neighborhood within the city of Colombo, Sri Lanka.
  • E. Panacea
    Panacea is the Greek goddess of universal remedy and healing, associated with cures for all diseases.
  • 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: Panach'
Triple: [Heineken France, brandManaged, Panach']
Generated description
Panach' is a French beverage brand known for its low-alcohol beer-based drink typically mixed with lemonade, offering a light and refreshing alternative to traditional beer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Panach'
Target entity description: Panach' is a French beverage brand known for its low-alcohol beer-based drink typically mixed with lemonade, offering a light and refreshing alternative to traditional beer.
  • A. Panamik
    Panamik is a remote village in India’s Ladakh region, known for its hot springs and scenic location in the Nubra Valley near the Siachen Glacier.
  • B. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • C. Pitadeniya
    Pitadeniya is a village and gateway area in southern Sri Lanka that serves as a main entry point for visitors to the Sinharaja Forest Reserve.
  • D. Pamankada
    Pamankada is a residential and commercial neighborhood within the city of Colombo, Sri Lanka.
  • E. Panacea
    Panacea is the Greek goddess of universal remedy and healing, associated with cures for all diseases.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c5d5e2881908a27021616c69b97 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cb876788190a26ae84c2c69df95 completed March 27, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:34 p.m.