Triple

T7931722
Position Surface form Disambiguated ID Type / Status
Subject Project Taara E184203 entity
Predicate developer P73 FINISHED
Object X Development LLC E35323 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: X Development LLC | Statement: [Project Taara, developer, X Development LLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: X Development LLC
Context triple: [Project Taara, developer, X Development LLC]
  • A. X Development LLC chosen
    X Development LLC is Alphabet Inc.’s research and development subsidiary focused on ambitious, experimental “moonshot” technology projects.
  • B. X Corp.
    X Corp. is Elon Musk’s rebranded parent company of the social media platform X (formerly Twitter), overseeing his broader vision for an “everything app” and related technology ventures.
  • C. United Development Company
    United Development Company is a Qatari public shareholding company known for leading major real estate and infrastructure projects, including large-scale mixed-use developments.
  • D. XKL LLC
    XKL LLC is a technology company specializing in high-performance optical networking and data communication solutions.
  • E. Arrow Development
    Arrow Development was an American ride engineering and manufacturing company renowned for pioneering modern roller coasters and theme park attractions for clients like Disneyland.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3ace87f081908635769942645e78 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c041e588190bfbf251ed88d5bcd completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:07 p.m.