Triple

T3227683
Position Surface form Disambiguated ID Type / Status
Subject Indian Navy E67661 entity
Predicate hasSpecialForcesUnit P1198 FINISHED
Object MARCOS
MARCOS is the Indian Navy’s elite maritime special operations force, trained for high-risk missions such as amphibious warfare, counterterrorism, and covert reconnaissance.
E337446 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: MARCOS | Statement: [Indian Navy, hasSpecialForcesUnit, MARCOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARCOS
Context triple: [Indian Navy, hasSpecialForcesUnit, MARCOS]
  • A. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • B. Maccus
    Maccus is an Old Norse–derived given name that served as the historical root for the later surname and given name Maxwell.
  • C. Lúcio
    Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
  • D. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • E. Marc
    Marc is the given name of Marc Andreessen, the influential American entrepreneur, software engineer, and venture capitalist known for co-creating the Mosaic web browser and co-founding Netscape and Andreessen Horowitz.
  • 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: MARCOS
Triple: [Indian Navy, hasSpecialForcesUnit, MARCOS]
Generated description
MARCOS is the Indian Navy’s elite maritime special operations force, trained for high-risk missions such as amphibious warfare, counterterrorism, and covert reconnaissance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MARCOS
Target entity description: MARCOS is the Indian Navy’s elite maritime special operations force, trained for high-risk missions such as amphibious warfare, counterterrorism, and covert reconnaissance.
  • A. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • B. Maccus
    Maccus is an Old Norse–derived given name that served as the historical root for the later surname and given name Maxwell.
  • C. Lúcio
    Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
  • D. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • E. Marc
    Marc is the given name of Marc Andreessen, the influential American entrepreneur, software engineer, and venture capitalist known for co-creating the Mosaic web browser and co-founding Netscape and Andreessen Horowitz.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb5e67c819082070d108d3613ba completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26262af848190a918f3a606bfa616 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264e25bd48190978a289565854297 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b265cd3fcc8190bc56bbf2de229386 completed March 12, 2026, 7:05 a.m.
Created at: March 8, 2026, 3:08 p.m.