Triple
T33909269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karpal Singh |
E869267
|
entity |
| Predicate | stateConstituencyRepresented |
P196672
|
FINISHED |
| Object |
Bukit Gelugor (Penang State Legislative Assembly)
Bukit Gelugor is a state constituency in Penang, Malaysia, known for its strong opposition representation and association with prominent Democratic Action Party leaders.
|
E2073200
|
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: Bukit Gelugor (Penang State Legislative Assembly) | Statement: [Karpal Singh, stateConstituencyRepresented, Bukit Gelugor (Penang State Legislative Assembly)]
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: Bukit Gelugor (Penang State Legislative Assembly) Triple: [Karpal Singh, stateConstituencyRepresented, Bukit Gelugor (Penang State Legislative Assembly)]
Generated description
Bukit Gelugor is a state constituency in Penang, Malaysia, known for its strong opposition representation and association with prominent Democratic Action Party leaders.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateConstituencyRepresented Context triple: [Karpal Singh, stateConstituencyRepresented, Bukit Gelugor (Penang State Legislative Assembly)]
-
A.
representedConstituenciesIn
Indicates that an individual or entity served as an official representative for one or more specified constituencies.
-
B.
representsConstituenciesIn
Indicates that an entity serves as the elected or official representative of certain constituencies within a specified governing body or jurisdiction.
-
C.
representsConstituency
Indicates that one entity serves as a constituent, component, or represented group within another entity, typically in a political or organizational context.
-
D.
parliamentaryConstituencyRepresented
Indicates the relationship in which a person or entity serves as the elected representative for a specific parliamentary constituency.
-
E.
countyRepresented
Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
- F. None of above. chosen
Provenance (7 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a368247db708190ab313476a8650ef5 |
completed | June 20, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_6a36831f01fc8190a5e2026f6039883d |
completed | June 20, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36845c22bc819083a9cbe9c3f3be9a |
completed | June 20, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69fe610d75a48190bfd08a9bb957fcd3 |
completed | May 8, 2026, 10:17 p.m. |
Created at: May 1, 2026, 1:48 a.m.