Triple

T16336438
Position Surface form Disambiguated ID Type / Status
Subject DAICHI E396689 entity
Predicate instrument P792 FINISHED
Object AVNIR-2 E88136 NE FINISHED

How this triple was built (2 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: AVNIR-2 | Statement: [DAICHI, instrument, AVNIR-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AVNIR-2
Context triple: [DAICHI, instrument, AVNIR-2]
  • A. Resourcesat-2
    Resourcesat-2 is an Indian Earth observation satellite designed to provide high-resolution, multi-spectral imagery for applications such as agriculture, land use mapping, and natural resource management.
  • B. Gaofen-2
    Gaofen-2 is a Chinese high-resolution Earth observation satellite used for detailed land imaging, resource monitoring, and disaster assessment.
  • C. Akari (infrared satellite)
    Akari (infrared satellite) was a Japanese infrared astronomy space telescope that conducted an all-sky survey to study celestial objects from the near- to far-infrared wavelengths.
  • D. ALOS Earth observation satellites chosen
    ALOS Earth observation satellites are Japanese remote-sensing spacecraft designed to collect high-resolution imagery and data for mapping, disaster monitoring, and environmental observation.
  • E. Resourcesat-1
    Resourcesat-1 is an Indian Earth observation satellite designed to provide high-resolution, multi-spectral imagery for natural resource monitoring and management.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e3af7881908a3116c41ed69115 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026193a3c81909c640426ab798c1c completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.