Triple
T17572174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brisbane central business district |
E427965
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
the City
The City is the main commercial and financial heart of Brisbane, characterized by its dense cluster of offices, shops, and riverfront high-rises.
|
E1277310
|
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: the City | Statement: [Brisbane central business district, alsoKnownAs, the City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the City Context triple: [Brisbane central business district, alsoKnownAs, the City]
-
A.
the City
The City is London's historic and financial district, renowned as one of the world's leading centers for banking, insurance, and global finance.
-
B.
CITY
CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
-
C.
المدينة
المدينة هي الاسم العربي المختصر لمدينة المدينة المنورة، إحدى أقدس المدن في الإسلام وثاني أقدس موقع بعد مكة المكرمة.
-
D.
City
City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
-
E.
City
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
- 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: the City Triple: [Brisbane central business district, alsoKnownAs, the City]
Generated description
The City is the main commercial and financial heart of Brisbane, characterized by its dense cluster of offices, shops, and riverfront high-rises.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the City Target entity description: The City is the main commercial and financial heart of Brisbane, characterized by its dense cluster of offices, shops, and riverfront high-rises.
-
A.
the City
The City is London's historic and financial district, renowned as one of the world's leading centers for banking, insurance, and global finance.
-
B.
CITY
CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
-
C.
المدينة
المدينة هي الاسم العربي المختصر لمدينة المدينة المنورة، إحدى أقدس المدن في الإسلام وثاني أقدس موقع بعد مكة المكرمة.
-
D.
City
City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
-
E.
City
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e459324aa48190ae23fcae6e8919f8 |
completed | April 19, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01dde81264819097f7cb7448842eac |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01e246a9c48190b5b728ffb385de31 |
completed | May 11, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e2d0b7748190b9a179001e7dab94 |
completed | May 11, 2026, 2:08 p.m. |
Created at: April 10, 2026, 5:50 a.m.