Triple

T1296768
Position Surface form Disambiguated ID Type / Status
Subject Tottenham Hotspur Stadium E27669 entity
Predicate secondarySurface P28377 FINISHED
Object artificial turf for American 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: artificial turf for American football | Statement: [Tottenham Hotspur Stadium, secondarySurface, artificial turf for American football]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondarySurface
Context triple: [Tottenham Hotspur Stadium, secondarySurface, artificial turf for American football]
  • A. secondarySee
    Indicates that one entity is referenced as an additional or alternative point of consultation or viewing in relation to another entity.
  • B. secondaryFunction
    Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
  • C. secondTier
    Indicates that something occupies a secondary or subordinate level of importance, quality, or rank relative to a primary or top tier.
  • D. secondaryPosition
    Indicates that an entity holds an additional, non-primary role, location, or status alongside its main one.
  • E. secondaryPigment
    Indicates that one pigment functions as a secondary or supporting color relative to another primary pigment in a given context.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c3b9ebdc819098de4d3288201bc1 completed March 1, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.