Triple
T23554805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imbaba |
E578153
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Kit Kat Square
Kit Kat Square is a well-known public square and transportation hub in the Giza district of Greater Cairo, Egypt.
|
E1590188
|
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: Kit Kat Square | Statement: [Imbaba, locatedNear, Kit Kat Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kit Kat Square Context triple: [Imbaba, locatedNear, Kit Kat Square]
-
A.
Hub Mall
Hub Mall is a combined shopping, dining, and student residence complex located on the University of Alberta’s North Campus.
-
B.
Plaza 66
Plaza 66 is a prominent luxury shopping and office complex in Shanghai, China, known for its high-end retail stores and distinctive skyscraper towers.
-
C.
Day Square
Day Square is a bustling commercial and residential hub in East Boston, Massachusetts, known for its diverse restaurants, shops, and local businesses.
-
D.
The Mall
The Mall is a grand ceremonial road in central London that runs between Buckingham Palace and Trafalgar Square, often used for royal processions and public celebrations.
-
E.
The Mall
The Mall is the monumental, park-lined open space in central Washington, D.C., stretching between key national landmarks and serving as a symbolic and civic heart of the United States.
- 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: Kit Kat Square Triple: [Imbaba, locatedNear, Kit Kat Square]
Generated description
Kit Kat Square is a well-known public square and transportation hub in the Giza district of Greater Cairo, Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kit Kat Square Target entity description: Kit Kat Square is a well-known public square and transportation hub in the Giza district of Greater Cairo, Egypt.
-
A.
Hub Mall
Hub Mall is a combined shopping, dining, and student residence complex located on the University of Alberta’s North Campus.
-
B.
Plaza 66
Plaza 66 is a prominent luxury shopping and office complex in Shanghai, China, known for its high-end retail stores and distinctive skyscraper towers.
-
C.
Day Square
Day Square is a bustling commercial and residential hub in East Boston, Massachusetts, known for its diverse restaurants, shops, and local businesses.
-
D.
The Mall
The Mall is the monumental, park-lined open space in central Washington, D.C., stretching between key national landmarks and serving as a symbolic and civic heart of the United States.
-
E.
The Mall
The Mall is a grand ceremonial road in central London that runs between Buckingham Palace and Trafalgar Square, often used for royal processions and public celebrations.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed253788190ba75109af0e91b37 |
completed | April 29, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf67efbc8190a75c1d6cb9bd63f9 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce12579188190befd636d3714675a |
completed | May 19, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce187efa48190876f67fef4873af2 |
completed | May 19, 2026, 10:17 p.m. |
Created at: April 17, 2026, 6:12 p.m.