Triple

T3237696
Position Surface form Disambiguated ID Type / Status
Subject QatarEnergy E67893 entity
Predicate subsidiary P258 FINISHED
Object RasGas
RasGas was a major Qatari liquefied natural gas (LNG) company responsible for developing and operating some of Qatar’s largest gas projects.
 E340394 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: RasGas | Statement: [QatarEnergy, subsidiary, RasGas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RasGas
Context triple: [QatarEnergy, subsidiary, RasGas]
  • A. Ras
    Ras is a historic medieval region and former capital area of the early Serbian state, known for its significant monasteries and fortifications.
  • B. Ras Beirut
    Ras Beirut is a vibrant, historically cosmopolitan coastal district of Beirut known for its cultural diversity, educational institutions, and lively urban atmosphere.
  • C. Rivaz
    Rivaz is a picturesque Swiss wine-growing village on the shores of Lake Geneva, renowned for its terraced vineyards within the UNESCO-listed Lavaux region.
  • D. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • E. Ras Baraka
    Ras Baraka is an American politician, educator, and poet who serves as the progressive mayor of Newark, New Jersey.
  • 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: RasGas
Triple: [QatarEnergy, subsidiary, RasGas]
Generated description
RasGas was a major Qatari liquefied natural gas (LNG) company responsible for developing and operating some of Qatar’s largest gas projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RasGas
Target entity description: RasGas was a major Qatari liquefied natural gas (LNG) company responsible for developing and operating some of Qatar’s largest gas projects.
  • A. Ras
    Ras is a historic medieval region and former capital area of the early Serbian state, known for its significant monasteries and fortifications.
  • B. Ras Beirut
    Ras Beirut is a vibrant, historically cosmopolitan coastal district of Beirut known for its cultural diversity, educational institutions, and lively urban atmosphere.
  • C. Rivaz
    Rivaz is a picturesque Swiss wine-growing village on the shores of Lake Geneva, renowned for its terraced vineyards within the UNESCO-listed Lavaux region.
  • D. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • E. Ras Baraka
    Ras Baraka is an American politician, educator, and poet who serves as the progressive mayor of Newark, New Jersey.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774a97c481908be820bc5ddf786d completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2780e41e0819080ddb26668f32838 completed March 12, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69b27bd238a48190b9d13ee8a8bc955d completed March 12, 2026, 8:39 a.m.
Created at: March 8, 2026, 3:08 p.m.