Triple

T7346471
Position Surface form Disambiguated ID Type / Status
Subject GrabFood E169392 entity
Predicate ownedBy P347 FINISHED
Object Grab Holdings E659394 NE 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: Grab Holdings | Statement: [GrabFood, ownedBy, Grab Holdings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grab Holdings
Context triple: [GrabFood, ownedBy, Grab Holdings]
  • A. Grab Holdings Inc. chosen
    Grab Holdings Inc. is a Southeast Asian technology company best known for its super-app offering ride-hailing, food delivery, and digital financial services across multiple countries in the region.
  • B. Snap Inc.
    Snap Inc. is an American technology and social media company best known for developing the multimedia messaging app Snapchat and related camera and augmented reality products.
  • C. Capri Holdings Limited
    Capri Holdings Limited is a global fashion luxury group that owns brands such as Versace, Michael Kors, and Jimmy Choo.
  • D. Square, Inc.
    Square, Inc. is a financial technology company best known for its mobile payment solutions and point-of-sale systems that enable businesses to accept electronic payments easily.
  • E. Alphabet Inc.
    Alphabet Inc. is a multinational technology conglomerate that serves as the holding company for Google and various other businesses in areas such as artificial intelligence, life sciences, and autonomous vehicles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f0329c8190a0182e3bf62604e5 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810d0aebc8190a7274fbcd3fe11ff completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:05 p.m.