Triple

T16358163
Position Surface form Disambiguated ID Type / Status
Subject Skobeltsyn Institute of Nuclear Physics E397238 entity
Predicate shortName P43 FINISHED
Object SINP
SINP is the commonly used abbreviation for the Skobeltsyn Institute of Nuclear Physics, a major Russian research institute specializing in nuclear and particle physics.
 E1207964 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: SINP | Statement: [Skobeltsyn Institute of Nuclear Physics, shortName, SINP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SINP
Context triple: [Skobeltsyn Institute of Nuclear Physics, shortName, SINP]
  • A. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • B. SINAC
    SINAC is Costa Rica’s national agency responsible for managing and protecting the country’s system of protected areas and biodiversity.
  • C. SYP
    SYP is the ISO 4217 currency code for the Syrian pound, the official monetary unit of Syria.
  • D. Sibinal
    Sibinal is a highland municipality in western Guatemala’s San Marcos Department, known for its rural communities and proximity to the Tacaná volcano near the Mexican border.
  • E. SIPO
    SIPO is the former name and abbreviation for China’s central government agency responsible for administering patents and other intellectual property rights.
  • 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: SINP
Triple: [Skobeltsyn Institute of Nuclear Physics, shortName, SINP]
Generated description
SINP is the commonly used abbreviation for the Skobeltsyn Institute of Nuclear Physics, a major Russian research institute specializing in nuclear and particle physics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SINP
Target entity description: SINP is the commonly used abbreviation for the Skobeltsyn Institute of Nuclear Physics, a major Russian research institute specializing in nuclear and particle physics.
  • A. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • B. SINAC
    SINAC is Costa Rica’s national agency responsible for managing and protecting the country’s system of protected areas and biodiversity.
  • C. SYP
    SYP is the ISO 4217 currency code for the Syrian pound, the official monetary unit of Syria.
  • D. Sibinal
    Sibinal is a highland municipality in western Guatemala’s San Marcos Department, known for its rural communities and proximity to the Tacaná volcano near the Mexican border.
  • E. SIPO
    SIPO is the former name and abbreviation for China’s central government agency responsible for administering patents and other intellectual property rights.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad0b1948190a66ec7d2a310cc83 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbaacd88190b2c90c5be2832307 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002e92e840819080219d51dd6ddb34 completed May 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_6a002f171b588190b4690a28657fa76e completed May 10, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:07 a.m.