Triple
T14222419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Observatory |
E352529
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Transit House
Transit House is a component of the City Observatory complex, likely serving as a facility that supports the operations or visitors of the observatory.
|
E1088588
|
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: Transit House | Statement: [City Observatory, hasComponent, Transit House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transit House Context triple: [City Observatory, hasComponent, Transit House]
-
A.
World-Wide House
World-Wide House is a prominent commercial office and retail building in Central, Hong Kong, known for its bustling arcade of small shops and services.
-
B.
Levita House
Levita House is a residential block within the Ossulston Estate in the London Borough of Camden, known for its early 20th-century social housing architecture.
-
C.
Streethouse
Streethouse is a small village in West Yorkshire, England, situated within the City of Wakefield metropolitan district.
-
D.
City House
City House is a commercial office building located in Croydon town centre in South London.
-
E.
Shell House
Shell House was the former Johannesburg headquarters of South Africa’s African National Congress, later renamed Luthuli House.
- 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: Transit House Triple: [City Observatory, hasComponent, Transit House]
Generated description
Transit House is a component of the City Observatory complex, likely serving as a facility that supports the operations or visitors of the observatory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Transit House Target entity description: Transit House is a component of the City Observatory complex, likely serving as a facility that supports the operations or visitors of the observatory.
-
A.
World-Wide House
World-Wide House is a prominent commercial office and retail building in Central, Hong Kong, known for its bustling arcade of small shops and services.
-
B.
Levita House
Levita House is a residential block within the Ossulston Estate in the London Borough of Camden, known for its early 20th-century social housing architecture.
-
C.
Streethouse
Streethouse is a small village in West Yorkshire, England, situated within the City of Wakefield metropolitan district.
-
D.
City House
City House is a commercial office building located in Croydon town centre in South London.
-
E.
Shell House
Shell House was the former Johannesburg headquarters of South Africa’s African National Congress, later renamed Luthuli House.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6227c288819081473ce44f9f0934 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2813e55881909bdbc6f3c6ef572b |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2b0956948190bf654403ad0b154a |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2df66aa48190ae18a4ca1c099c25 |
completed | May 8, 2026, 12:27 a.m. |
Created at: April 10, 2026, 1:06 a.m.