Triple

T19608403
Position Surface form Disambiguated ID Type / Status
Subject Palampur E470664 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HP NE NERFINISHED

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: HP | Statement: [Palampur, vehicleRegistrationCode, HP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HP
Context triple: [Palampur, vehicleRegistrationCode, HP]
  • A. HP chosen
    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. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c964fc8190bd1cb60f4b233eaa completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.