Triple
T15033982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland Place |
E378431
|
entity |
| Predicate | hasNotableBuilding |
P1544
|
FINISHED |
| Object | The Langham Hotel |
E1133470
|
NE FINISHED |
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: The Langham Hotel | Statement: [Portland Place, hasNotableBuilding, The Langham Hotel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Langham Hotel Context triple: [Portland Place, hasNotableBuilding, The Langham Hotel]
-
A.
The Langham
The Langham is a historic luxury apartment building on Manhattan’s Central Park West in New York City, known for its elegant architecture and prominent location overlooking Central Park.
-
B.
Langham Place
Langham Place is a major shopping and commercial complex in Hong Kong known for its large mall, office tower, and distinctive modern architecture.
-
C.
Langham Place
chosen
Langham Place is a short but prominent street in central London, known for landmarks such as the BBC’s Broadcasting House and the Langham Hotel.
-
D.
Royal Garden Hotel
The Royal Garden Hotel is a luxury hotel in London known for its upscale accommodations and views over Kensington Gardens.
-
E.
Park Hyatt
Park Hyatt is a luxury hotel brand known for its upscale accommodations, personalized service, and prime locations in major cities and resort destinations worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b4d58481908afbc89263e07b50 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:59 a.m.