Triple
T7878718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tema |
E182923
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Harbour City
Harbour City is the nickname of Tema, a major port and industrial city on the Atlantic coast of Ghana.
|
E701101
|
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: Harbour City | Statement: [Tema, hasNickname, Harbour City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harbour City Context triple: [Tema, hasNickname, Harbour City]
-
A.
Harbour City
Harbour City is the coastal British Columbia city of Nanaimo, known for its busy port, waterfront, and maritime character.
-
B.
Harbor City
Harbor City is a residential and industrial neighborhood in the Harbor region of Los Angeles, California, known for its proximity to the Port of Los Angeles and its diverse, working-class community.
-
C.
Harbour Square
Harbour Square is a popular waterfront dining and entertainment complex in Manila, Philippines, known for its restaurants, bayside views, and proximity to major cultural landmarks.
-
D.
Pacific Place
Pacific Place is an upscale shopping and entertainment center located in the heart of downtown Seattle, Washington.
-
E.
Harbourside
Harbourside is Bristol’s regenerated waterfront district, known for its cultural attractions, restaurants, and scenic views along the city’s historic docks.
- 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: Harbour City Triple: [Tema, hasNickname, Harbour City]
Generated description
Harbour City is the nickname of Tema, a major port and industrial city on the Atlantic coast of Ghana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harbour City Target entity description: Harbour City is the nickname of Tema, a major port and industrial city on the Atlantic coast of Ghana.
-
A.
Harbour City
Harbour City is the coastal British Columbia city of Nanaimo, known for its busy port, waterfront, and maritime character.
-
B.
Harbor City
Harbor City is a residential and industrial neighborhood in the Harbor region of Los Angeles, California, known for its proximity to the Port of Los Angeles and its diverse, working-class community.
-
C.
Harbour Square
Harbour Square is a popular waterfront dining and entertainment complex in Manila, Philippines, known for its restaurants, bayside views, and proximity to major cultural landmarks.
-
D.
Pacific Place
Pacific Place is an upscale shopping and entertainment center located in the heart of downtown Seattle, Washington.
-
E.
Harbourside
Harbourside is Bristol’s regenerated waterfront district, known for its cultural attractions, restaurants, and scenic views along the city’s historic docks.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bd64e481909f699e7dd2818b8f |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b86c20081909aa029cda7c48d44 |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7631d10881908e3c7dacb98520cd |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf847f3c819092d690d8d65f6d60 |
completed | March 31, 2026, 12:35 p.m. |
Created at: March 30, 2026, 4:57 p.m.