Triple

T3157515
Position Surface form Disambiguated ID Type / Status
Subject Mavs Gaming E66019 entity
Predicate locatedInFacility P40 FINISHED
Object Mavs Gaming Hub
Mavs Gaming Hub is a dedicated esports facility and training center for the Dallas Mavericks’ NBA 2K League team, Mavs Gaming.
E332010 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: Mavs Gaming Hub | Statement: [Mavs Gaming, locatedInFacility, Mavs Gaming Hub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mavs Gaming Hub
Context triple: [Mavs Gaming, locatedInFacility, Mavs Gaming Hub]
  • A. Mavs Gaming
    Mavs Gaming is the official NBA 2K League esports team affiliated with the Dallas Mavericks organization.
  • B. Nets Gaming Crew
    Nets Gaming Crew is a professional NBA 2K League esports team affiliated with the Brooklyn Nets.
  • C. Knicks Gaming
    Knicks Gaming is the official NBA 2K League esports team affiliated with the New York Knicks.
  • D. Bucks Gaming
    Bucks Gaming is the Milwaukee Bucks’ official esports team that competes in the NBA 2K League.
  • E. MNF
    MNF is the commonly used abbreviation for the Faculty of Science at the University of Zurich, encompassing its natural science departments and research institutes.
  • 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: Mavs Gaming Hub
Triple: [Mavs Gaming, locatedInFacility, Mavs Gaming Hub]
Generated description
Mavs Gaming Hub is a dedicated esports facility and training center for the Dallas Mavericks’ NBA 2K League team, Mavs Gaming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mavs Gaming Hub
Target entity description: Mavs Gaming Hub is a dedicated esports facility and training center for the Dallas Mavericks’ NBA 2K League team, Mavs Gaming.
  • A. Mavs Gaming
    Mavs Gaming is the official NBA 2K League esports team affiliated with the Dallas Mavericks organization.
  • B. Nets Gaming Crew
    Nets Gaming Crew is a professional NBA 2K League esports team affiliated with the Brooklyn Nets.
  • C. Knicks Gaming
    Knicks Gaming is the official NBA 2K League esports team affiliated with the New York Knicks.
  • D. Bucks Gaming
    Bucks Gaming is the Milwaukee Bucks’ official esports team that competes in the NBA 2K League.
  • E. MNF
    MNF is the commonly used abbreviation for the Faculty of Science at the University of Zurich, encompassing its natural science departments and research institutes.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5ec0da88190a83f3448ac76e98e completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250a682c8190b01e949f27d6932e completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b22598f9e48190a3d63a3416c95bd9 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225f0e0b0819096f8b5f7e7ddd8c3 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.