Triple
T3838962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower of the Americas |
E93403
|
entity |
| Predicate | hasRestaurant |
P4442
|
FINISHED |
| Object |
Chart House
Chart House is a fine-dining seafood and steak restaurant chain in the United States known for its scenic, often waterfront or high-elevation locations.
|
E393809
|
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: Chart House | Statement: [Tower of the Americas, hasRestaurant, Chart House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chart House Context triple: [Tower of the Americas, hasRestaurant, Chart House]
-
A.
Blake House
Blake House is a historic residence and notable landmark located in the City of Fairfax, Virginia.
-
B.
Clock House
Clock House is a suburban railway station in the London Borough of Bromley that provides local commuter services into central London.
-
C.
Ham House
Ham House is a 17th-century Stuart mansion on the River Thames renowned for its well-preserved period interiors and formal gardens.
-
D.
Anderson House
Anderson House is a historic Beaux-Arts mansion in Washington, D.C., that serves as the headquarters and museum of the Society of the Cincinnati.
-
E.
Pat House
Pat House is a technology executive best known as a co-founder of Siebel Systems, a pioneering customer relationship management (CRM) software company.
- 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: Chart House Triple: [Tower of the Americas, hasRestaurant, Chart House]
Generated description
Chart House is a fine-dining seafood and steak restaurant chain in the United States known for its scenic, often waterfront or high-elevation locations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chart House Target entity description: Chart House is a fine-dining seafood and steak restaurant chain in the United States known for its scenic, often waterfront or high-elevation locations.
-
A.
Blake House
Blake House is a historic residence and notable landmark located in the City of Fairfax, Virginia.
-
B.
Clock House
Clock House is a suburban railway station in the London Borough of Bromley that provides local commuter services into central London.
-
C.
Ham House
Ham House is a 17th-century Stuart mansion on the River Thames renowned for its well-preserved period interiors and formal gardens.
-
D.
Anderson House
Anderson House is a historic Beaux-Arts mansion in Washington, D.C., that serves as the headquarters and museum of the Society of the Cincinnati.
-
E.
Pat House
Pat House is a technology executive best known as a co-founder of Siebel Systems, a pioneering customer relationship management (CRM) software company.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeb9f305c8190b71ac53bbb0c4beb |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040835dc81909ecf5053128f1cc7 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b507cfee048190a41ad30f4ceaf6c8 |
completed | March 14, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50857e9ec8190bb03f13c4573b779 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:18 p.m.