Triple

T6608104
Position Surface form Disambiguated ID Type / Status
Subject Dock10 E149168 entity
Predicate hasStudio P30541 FINISHED
Object HQ4
HQ4 is one of the television production studios within Dock10’s media facility at MediaCityUK in Salford, England.
 E606840 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: HQ4 | Statement: [Dock10, hasStudio, HQ4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HQ4
Context triple: [Dock10, hasStudio, HQ4]
  • A. QH
    QH is the standard abbreviation for Qinghai, a large inland province in northwestern China known for the Qinghai-Tibet Plateau and Qinghai Lake.
  • B. H4H
    H4H is a U.S. federal mortgage relief initiative designed to help struggling homeowners refinance into more affordable, government-insured loans.
  • C. KH04
    KH04 is the station code assigned to Kyobashi Station on the Keihan Electric Railway network in Osaka, Japan.
  • D. H4T
    H4T is a Canadian postal code prefix associated with the Saint-Laurent borough of Montreal, Quebec.
  • E. HC4
    The HC4 is a British Royal Air Force heavy-lift transport helicopter variant of the CH-47 Chinook, upgraded for enhanced performance and avionics.
  • 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: HQ4
Triple: [Dock10, hasStudio, HQ4]
Generated description
HQ4 is one of the television production studios within Dock10’s media facility at MediaCityUK in Salford, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HQ4
Target entity description: HQ4 is one of the television production studios within Dock10’s media facility at MediaCityUK in Salford, England.
  • A. QH
    QH is the standard abbreviation for Qinghai, a large inland province in northwestern China known for the Qinghai-Tibet Plateau and Qinghai Lake.
  • B. H4H
    H4H is a U.S. federal mortgage relief initiative designed to help struggling homeowners refinance into more affordable, government-insured loans.
  • C. KH04
    KH04 is the station code assigned to Kyobashi Station on the Keihan Electric Railway network in Osaka, Japan.
  • D. H4T
    H4T is a Canadian postal code prefix associated with the Saint-Laurent borough of Montreal, Quebec.
  • E. HC4
    The HC4 is a British Royal Air Force heavy-lift transport helicopter variant of the CH-47 Chinook, upgraded for enhanced performance and avionics.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af31c4748190ab5027771c9ce5b2 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43cc42081909762eec710773f40 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e57d71ec8190b79615f11eadec26 completed March 27, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_69c6e614f04c8190b25b553553895799 completed March 27, 2026, 8:18 p.m.
Created at: March 27, 2026, 1:57 p.m.