Triple

T9632921
Position Surface form Disambiguated ID Type / Status
Subject HPE Alletra E232849 entity
Predicate brand P1500 FINISHED
Object HPE E500301 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: HPE | Statement: [HPE Alletra, brand, HPE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HPE
Context triple: [HPE Alletra, brand, HPE]
  • A. Hewlett Packard Enterprise chosen
    Hewlett Packard Enterprise is a major American multinational enterprise IT company that provides servers, storage, networking, and related services to business and government customers worldwide.
  • B. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • C. HPE Alletra
    HPE Alletra is a cloud-native data storage platform from Hewlett Packard Enterprise designed to deliver high-performance, scalable, and as-a-service storage for modern workloads across edge, core, and cloud environments.
  • D. HP
    HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
  • E. HP
    HP is a postcode area in the United Kingdom covering High Wycombe and surrounding parts of Buckinghamshire and nearby counties.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2783b48190a9929dc3e3cd2956 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d59ab0b48190acc133cc806582cc completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:11 p.m.