Triple
T2154186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. Nordin |
E47848
|
entity |
| Predicate | cauldronLighterAt |
P10390
|
FINISHED |
| Object | 1998 Commonwealth Games in Kuala Lumpur |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1998 Commonwealth Games in Kuala Lumpur | Statement: [M. Nordin, cauldronLighterAt, 1998 Commonwealth Games in Kuala Lumpur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cauldronLighterAt Context triple: [M. Nordin, cauldronLighterAt, 1998 Commonwealth Games in Kuala Lumpur]
-
A.
cauldronLighter
Indicates that an entity performs the action of lighting or igniting a cauldron.
-
B.
cauldronLocation
Indicates the spatial location or placement of a cauldron relative to some reference (such as a place, object, or region).
-
C.
cauldronDesigner
Indicates that one entity is the designer or creator of a particular cauldron associated with another entity.
-
D.
olympicCauldronLighter
chosen
Indicates the person or entity that performs the ceremonial act of lighting the Olympic cauldron at the start of the Olympic Games.
-
E.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
- F. None of above.
Provenance (3 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe64fdf081909a5ea6818bddd18c |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.