Triple

T34842824
Position Surface form Disambiguated ID Type / Status
Subject House of a Thousand Orifices E1004386 entity
Predicate refersToBuildingOriginalName P139408 FINISHED
Object Connaught Centre
Connaught Centre is a prominent office skyscraper in Hong Kong, historically known as the headquarters of major financial institutions and a landmark of the city’s central business district.
 E2114700 NE FINISHED

How this triple was built (3 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: Connaught Centre | Statement: [House of a Thousand Orifices, refersToBuildingOriginalName, Connaught Centre]
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: Connaught Centre
Triple: [House of a Thousand Orifices, refersToBuildingOriginalName, Connaught Centre]
Generated description
Connaught Centre is a prominent office skyscraper in Hong Kong, historically known as the headquarters of major financial institutions and a landmark of the city’s central business district.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: refersToBuildingOriginalName
Context triple: [House of a Thousand Orifices, refersToBuildingOriginalName, Connaught Centre]
  • A. originalBuildingName chosen
    Indicates that a building’s referenced name is its original or historically first assigned name, as opposed to any later or alternate names.
  • B. originalBuilding
    Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
  • C. refersToBuildingOn
    Indicates that one entity explicitly references or designates a specific building as its subject or target.
  • D. buildingArchitectOfOriginal
    Indicates that an entity is the architect responsible for the original design of a particular building.
  • E. originalEstateName
    Indicates the name originally assigned to an estate or property before any subsequent changes or renamings.
  • F. None of above.

Provenance (6 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_69f76db97714819099b5bed36fd64e9d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe349879848190bcd77e3cc3470458 completed May 8, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37795059748190a95acc20f053ed0b completed June 21, 2026, 5:40 a.m.
NEDg Description generation batch_6a377a2e811c8190acdf3e170abca595 completed June 21, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_6a377ac60cd88190b1ea9540346df1c9 completed June 21, 2026, 5:46 a.m.
PD Predicate disambiguation batch_69fe31e3cf908190b23ebc2f7fe58722 completed May 8, 2026, 6:56 p.m.
Created at: May 3, 2026, 4 p.m.