Triple

T11108697
Position Surface form Disambiguated ID Type / Status
Subject Oceansat-2 E262698 entity
Predicate instrument P792 FINISHED
Object ROSAA
ROSAA is a remote sensing instrument aboard the Indian Oceansat-2 satellite used for oceanographic and atmospheric observations.
 E906296 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: ROSAA | Statement: [Oceansat-2, instrument, ROSAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ROSAA
Context triple: [Oceansat-2, instrument, ROSAA]
  • A. RAA
    RAA is the abbreviation for the Royal Australian Artillery, the artillery corps of the Australian Army responsible for providing fire support and air defense.
  • B. RAEOA
    RAEOA is the autonomous administrative region of Oecusse in Timor-Leste, formally known as the Special Administrative Region of Oecusse-Ambeno.
  • C. RAE
    RAE is the commonly used abbreviation for the Russian Antarctic Expedition, Russia’s long-running program of scientific research and exploration in Antarctica.
  • D. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • E. RAE
    RAE is the corps of the Australian Army responsible for military engineering, including combat engineering, construction, and infrastructure support.
  • 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: ROSAA
Triple: [Oceansat-2, instrument, ROSAA]
Generated description
ROSAA is a remote sensing instrument aboard the Indian Oceansat-2 satellite used for oceanographic and atmospheric observations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ROSAA
Target entity description: ROSAA is a remote sensing instrument aboard the Indian Oceansat-2 satellite used for oceanographic and atmospheric observations.
  • A. RAA
    RAA is the abbreviation for the Royal Australian Artillery, the artillery corps of the Australian Army responsible for providing fire support and air defense.
  • B. RAEOA
    RAEOA is the autonomous administrative region of Oecusse in Timor-Leste, formally known as the Special Administrative Region of Oecusse-Ambeno.
  • C. RAE
    RAE is the commonly used abbreviation for the Russian Antarctic Expedition, Russia’s long-running program of scientific research and exploration in Antarctica.
  • D. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • E. RAE
    RAE is the corps of the Australian Army responsible for military engineering, including combat engineering, construction, and infrastructure support.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a67d10c8190815d4c27d55270e8 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d72f8f48190a7414119a6be9d5e completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4374700b881908ebb185ae020487b completed April 19, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69e4399385c08190852c3cbd730a1f11 completed April 19, 2026, 2:10 a.m.
Created at: April 8, 2026, 9:27 p.m.