Triple
T19833627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrocentre |
E476525
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Green Mall
Green Mall is one of the themed shopping areas within the Metrocentre retail complex, featuring a range of stores and amenities for visitors.
|
E1398569
|
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: Green Mall | Statement: [Metrocentre, hasPart, Green Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Mall Context triple: [Metrocentre, hasPart, Green Mall]
-
A.
Blue Mall
Blue Mall is a shopping area within the Metrocentre complex in Gateshead, England, featuring a range of retail stores and services.
-
B.
Gateway Mall
Gateway Mall is a major commercial shopping complex located in the Cubao district of Quezon City, Philippines.
-
C.
Clearview Mall
Clearview Mall is a regional shopping center located in Metairie, Louisiana, serving the greater New Orleans area with a variety of retail stores, dining options, and services.
-
D.
Crystal Mall
Crystal Mall is a large Asian-themed shopping centre and marketplace located in the Metrotown area of Burnaby, British Columbia.
-
E.
Fairview Mall
Fairview Mall is a large shopping centre in Toronto, Ontario, featuring a wide range of retail stores, dining options, and 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: Green Mall Triple: [Metrocentre, hasPart, Green Mall]
Generated description
Green Mall is one of the themed shopping areas within the Metrocentre retail complex, featuring a range of stores and amenities for visitors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Green Mall Target entity description: Green Mall is one of the themed shopping areas within the Metrocentre retail complex, featuring a range of stores and amenities for visitors.
-
A.
Blue Mall
Blue Mall is a shopping area within the Metrocentre complex in Gateshead, England, featuring a range of retail stores and services.
-
B.
Gateway Mall
Gateway Mall is a major commercial shopping complex located in the Cubao district of Quezon City, Philippines.
-
C.
Clearview Mall
Clearview Mall is a regional shopping center located in Metairie, Louisiana, serving the greater New Orleans area with a variety of retail stores, dining options, and services.
-
D.
Crystal Mall
Crystal Mall is a large Asian-themed shopping centre and marketplace located in the Metrotown area of Burnaby, British Columbia.
-
E.
Fairview Mall
Fairview Mall is a large shopping centre in Toronto, Ontario, featuring a wide range of retail stores, dining options, and 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d0347c8190b586c7fe01b61e97 |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43477388190ba38827620f76257 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d4e943b081909f98c72683d62e62 |
completed | May 16, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d5bc8e748190a4f97e6b23e56edd |
completed | May 16, 2026, 2:26 a.m. |
Created at: April 10, 2026, 1:50 p.m.