Triple

T6176792
Position Surface form Disambiguated ID Type / Status
Subject Baseball Ground E137838 entity
Predicate laterPrimarilyUsedFor P69258 FINISHED
Object association football LITERAL FINISHED

How this triple was built (2 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: association football | Statement: [Baseball Ground, laterPrimarilyUsedFor, association football]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterPrimarilyUsedFor
Context triple: [Baseball Ground, laterPrimarilyUsedFor, association football]
  • A. usedPrimarilyIn
    Indicates that something is mainly or most commonly employed within a particular context, domain, or purpose.
  • B. primarilyUsedBy
    Indicates that something is mainly or most commonly used by a particular entity or group.
  • C. primarilyFor
    Indicates that something is mainly intended, designed, or used for a particular purpose, function, or beneficiary, even if it may have secondary uses.
  • D. historicallyUsedFor
    Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
  • E. firstWidelyUsedFor
    Indicates that something was the earliest instance to be broadly adopted or commonly used for a particular purpose or application.
  • F. None of above. chosen

Provenance (4 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc87bc48190834042d9c41d5b86 completed March 22, 2026, 9:23 p.m.
PD Predicate disambiguation batch_69c055f7f12881908e21c04e9b752ba4 completed March 22, 2026, 8:50 p.m.
PDg Predicate description generation batch_69c056df95ac8190bc5efe050d3af864 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:18 p.m.