Triple
T13219224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of West Torrens |
E314703
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Hilton
Hilton is an inner-western suburb of Adelaide in South Australia, known for its proximity to the city centre and mixed residential–commercial character.
|
E1030988
|
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: Hilton | Statement: [City of West Torrens, hasSuburb, Hilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hilton Context triple: [City of West Torrens, hasSuburb, Hilton]
-
A.
Hilton
Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
-
B.
Hilton
Hilton is a global hospitality company that operates a worldwide portfolio of hotels and resorts across multiple brands.
-
C.
Sheraton
Sheraton is a global upscale hotel brand known for its full-service accommodations and business-friendly amenities.
-
D.
Hilton Garden Inn
Hilton Garden Inn is a mid-priced, business-oriented hotel brand within the Hilton portfolio, known for its comfortable accommodations and amenities for both business and leisure travelers.
-
E.
Westin
Westin is an upscale hotel and resort brand known for its wellness-focused amenities, including signature Heavenly Beds and fitness-oriented services.
- 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: Hilton Triple: [City of West Torrens, hasSuburb, Hilton]
Generated description
Hilton is an inner-western suburb of Adelaide in South Australia, known for its proximity to the city centre and mixed residential–commercial character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hilton Target entity description: Hilton is an inner-western suburb of Adelaide in South Australia, known for its proximity to the city centre and mixed residential–commercial character.
-
A.
Hilton
Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
-
B.
Hilton
Hilton is a global hospitality company that operates a worldwide portfolio of hotels and resorts across multiple brands.
-
C.
Sheraton
Sheraton is a global upscale hotel brand known for its full-service accommodations and business-friendly amenities.
-
D.
Hilton Garden Inn
Hilton Garden Inn is a mid-priced, business-oriented hotel brand within the Hilton portfolio, known for its comfortable accommodations and amenities for both business and leisure travelers.
-
E.
Westin
Westin is an upscale hotel and resort brand known for its wellness-focused amenities, including signature Heavenly Beds and fitness-oriented services.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a31c8748190a24256a7dd1e346b |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70bc5111c8190ae5b098c806bb845 |
completed | May 3, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ca343f08190b6484f464ed40810 |
completed | May 3, 2026, 8:51 a.m. |
Created at: April 9, 2026, 9:18 p.m.