Triple

T3741759
Position Surface form Disambiguated ID Type / Status
Subject Province of Marga Marga E79715 entity
Predicate namedAfter P63 FINISHED
Object Marga Marga
Marga Marga is a river in central Chile whose name was adopted by the surrounding Province of Marga Marga.
E385115 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: Marga Marga | Statement: [Province of Marga Marga, namedAfter, Marga Marga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marga Marga
Context triple: [Province of Marga Marga, namedAfter, Marga Marga]
  • A. Mahjoor
    Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
  • B. Sitaantaagu
    Sitaantaagu is the Tlingit name for the Mendenhall Glacier near Juneau, Alaska, a prominent valley glacier and major natural landmark.
  • C. Jhulelal
    Jhulelal is a revered deity and cultural hero of the Sindhi community, venerated as a protector and symbol of faith, unity, and resilience.
  • D. Ghunsa
    Ghunsa is a remote Himalayan village in eastern Nepal that serves as a key gateway and base for treks and expeditions around the Kangchenjunga region.
  • E. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • 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: Marga Marga
Triple: [Province of Marga Marga, namedAfter, Marga Marga]
Generated description
Marga Marga is a river in central Chile whose name was adopted by the surrounding Province of Marga Marga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marga Marga
Target entity description: Marga Marga is a river in central Chile whose name was adopted by the surrounding Province of Marga Marga.
  • A. Mahjoor
    Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
  • B. Sitaantaagu
    Sitaantaagu is the Tlingit name for the Mendenhall Glacier near Juneau, Alaska, a prominent valley glacier and major natural landmark.
  • C. Jhulelal
    Jhulelal is a revered deity and cultural hero of the Sindhi community, venerated as a protector and symbol of faith, unity, and resilience.
  • D. Ghunsa
    Ghunsa is a remote Himalayan village in eastern Nepal that serves as a key gateway and base for treks and expeditions around the Kangchenjunga region.
  • E. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb549490819084ebe69aae5ccf95 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db26adbc8190becd03db70e63112 completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dc2c274c8190a7c8fa419186e188 completed March 14, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_69b4e0065b008190b2ad78546e563b4d completed March 14, 2026, 4:11 a.m.
Created at: March 8, 2026, 3:34 p.m.