Triple

T50740
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Stock Exchange E994 entity
Predicate keyIndex P2918 FINISHED
Object AScX
AScX is a Dutch stock market index that tracks the performance of small-cap companies listed on the Amsterdam Stock Exchange.
 E4267 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: AScX | Statement: [Amsterdam Stock Exchange, keyIndex, AScX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AScX
Context triple: [Amsterdam Stock Exchange, keyIndex, AScX]
  • A. xAI
    xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
  • B. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • C. SCC
    SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
  • D. AP-S
    AP-S is the IEEE Antennas and Propagation Society, a leading professional organization focused on the theory, design, and application of antennas and the propagation of electromagnetic waves.
  • E. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • 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: AScX
Triple: [Amsterdam Stock Exchange, keyIndex, AScX]
Generated description
AScX is a Dutch stock market index that tracks the performance of small-cap companies listed on the Amsterdam Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AScX
Target entity description: AScX is a Dutch stock market index that tracks the performance of small-cap companies listed on the Amsterdam Stock Exchange.
  • A. xAI
    xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
  • B. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • C. SCC
    SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
  • D. AP-S
    AP-S is the IEEE Antennas and Propagation Society, a leading professional organization focused on the theory, design, and application of antennas and the propagation of electromagnetic waves.
  • E. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24ec333fc8190b66776b947e0bdbd completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255381a7c8190a48bee7032c622bb completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a255df7a1081909d709a7b507e0035 completed Feb. 28, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69a256a5649c8190a964820ca25cd00b completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.