Triple
T34891069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bursa Malaysia |
E1006286
|
entity |
| Predicate | primaryBoard |
P95798
|
FINISHED |
| Object |
Main Market
Main Market is the flagship board of Bursa Malaysia where large, established companies list their shares for public trading.
|
E2116153
|
NE FINISHED |
How this triple was built (3 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: Main Market | Statement: [Bursa Malaysia, primaryBoard, Main Market]
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: Main Market Triple: [Bursa Malaysia, primaryBoard, Main Market]
Generated description
Main Market is the flagship board of Bursa Malaysia where large, established companies list their shares for public trading.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBoard Context triple: [Bursa Malaysia, primaryBoard, Main Market]
-
A.
mainBoardFor
chosen
Indicates that one entity serves as the primary circuit board or central board used by another entity.
-
B.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
-
C.
primarySection
Indicates that one entity is the main or most important section or subdivision associated with another entity.
-
D.
primaryComponent
Indicates that one entity serves as the main or most important component within another entity or system.
-
E.
primaryInterface
Indicates that one entity serves as the main or default interface through which another entity is accessed or interacted with.
- F. None of above.
Provenance (6 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3786e022a48190b3b569c8764a194e |
completed | June 21, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a37878d76308190a5cd6d03c4bd7d28 |
completed | June 21, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37880ce93c8190a44f3723c33cf538 |
completed | June 21, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.