Triple

T3694964
Position Surface form Disambiguated ID Type / Status
Subject Lindsey Nelson Stadium E78434 entity
Predicate shortName P43 FINISHED
Object LNS
LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
 E379728 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: LNS | Statement: [Lindsey Nelson Stadium, shortName, LNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNS
Context triple: [Lindsey Nelson Stadium, shortName, LNS]
  • A. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • B. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • C. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • D. LIN
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • E. RNLN
    RNLN is the abbreviation commonly used for the Royal Netherlands Navy, the maritime branch of the Dutch armed forces.
  • 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: LNS
Triple: [Lindsey Nelson Stadium, shortName, LNS]
Generated description
LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNS
Target entity description: LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • A. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • B. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • C. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • D. LIN
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • E. RNLN
    RNLN is the abbreviation commonly used for the Royal Netherlands Navy, the maritime branch of the Dutch armed forces.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4eafd348190986f69aee787fd8f completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d0f2d88190b31e8c336f1a1bf3 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c5280d788190b59b23acf5f77811 completed March 14, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69b4c58b13c48190b975e61000aa1f05 completed March 14, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:26 p.m.