Triple

T14342753
Position Surface form Disambiguated ID Type / Status
Subject International Joint Conference on Neural Networks E355642 entity
Predicate sponsoredBy P67 FINISHED
Object INNS
INNS is the International Neural Network Society, a professional organization dedicated to advancing research and applications in neural networks and related fields.
 E1094343 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: INNS | Statement: [International Joint Conference on Neural Networks, sponsoredBy, INNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: INNS
Context triple: [International Joint Conference on Neural Networks, sponsoredBy, INNS]
  • A. INNSA
    INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
  • B. INN
    INN is the IATA airport code for Innsbruck Airport, the main international airport serving Innsbruck and the Tyrol region of Austria.
  • C. INN
    INN is the commonly used abbreviation for Inland Norway University of Applied Sciences, a higher education institution in Norway.
  • D. INS
    INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
  • E. INSP
    INSP is Mexico’s National Institute of Public Health, a leading governmental research and training institution focused on public health and epidemiology.
  • 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: INNS
Triple: [International Joint Conference on Neural Networks, sponsoredBy, INNS]
Generated description
INNS is the International Neural Network Society, a professional organization dedicated to advancing research and applications in neural networks and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: INNS
Target entity description: INNS is the International Neural Network Society, a professional organization dedicated to advancing research and applications in neural networks and related fields.
  • A. INNSA
    INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
  • B. INN
    INN is the IATA airport code for Innsbruck Airport, the main international airport serving Innsbruck and the Tyrol region of Austria.
  • C. INN
    INN is the commonly used abbreviation for Inland Norway University of Applied Sciences, a higher education institution in Norway.
  • D. INS
    INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
  • E. INSP
    INSP is Mexico’s National Institute of Public Health, a leading governmental research and training institution focused on public health and epidemiology.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e87febc8190a63c668cbd0fd713 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469d899081909103563f209dd944 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47fa764c8190b1d691f5847b7a05 completed May 8, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69fd492226888190a014b23e506ab19c completed May 8, 2026, 2:23 a.m.
Created at: April 10, 2026, 1:14 a.m.