Triple

T20264003
Position Surface form Disambiguated ID Type / Status
Subject Compaq Armada 100s E498915 entity
Predicate successorBrand P6643 FINISHED
Object HP
HP (Hewlett-Packard) is a major American multinational technology company best known for its personal computers, printers, and related hardware and services.
E1420205 NE FINISHED

How this triple was built (4 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: HP | Statement: [Compaq Armada 100s, successorBrand, HP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HP
Context triple: [Compaq Armada 100s, successorBrand, HP]
  • A. HP
    HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
  • B. HP
    HP is a postcode area in the United Kingdom covering High Wycombe and surrounding parts of Buckinghamshire and nearby counties.
  • C. HP
    HP was the IATA airline designator code assigned to the now-defunct U.S. carrier America West Airlines.
  • D. HP
    HP is the vehicle registration code used on license plates for the town of Hirschhorn am Neckar in Germany.
  • E. HPARD
    HPARD is the municipal agency responsible for managing and maintaining the public parks, recreation centers, and green spaces in the city of Houston, Texas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HP
Triple: [Compaq Armada 100s, successorBrand, HP]
Generated description
HP (Hewlett-Packard) is a major American multinational technology company best known for its personal computers, printers, and related hardware and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HP
Target entity description: HP (Hewlett-Packard) is a major American multinational technology company best known for its personal computers, printers, and related hardware and services.
  • A. HP
    HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
  • B. HP
    HP is a postcode area in the United Kingdom covering High Wycombe and surrounding parts of Buckinghamshire and nearby counties.
  • C. HP
    HP was the IATA airline designator code assigned to the now-defunct U.S. carrier America West Airlines.
  • D. HP
    HP is the vehicle registration code used on license plates for the town of Hirschhorn am Neckar in Germany.
  • E. HPARD
    HPARD is the municipal agency responsible for managing and maintaining the public parks, recreation centers, and green spaces in the city of Houston, Texas.
  • F. None of above. chosen

Provenance (5 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ccff008190920b418f51dc4311 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08553381308190b02328d2bc95fa89 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855fad28c81908c1516b64b8b1dc8 completed May 16, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a08569e603881908e28fec3e8f5f5aa completed May 16, 2026, 11:35 a.m.
Created at: April 11, 2026, 11:41 p.m.