Triple
T37187141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barisan Alternatif |
E921348
|
entity |
| Predicate | mainChineseBasedComponent |
P194638
|
FINISHED |
| Object | Democratic Action Party |
—
|
NE NERFINISHED |
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: Democratic Action Party | Statement: [Barisan Alternatif, mainChineseBasedComponent, Democratic Action Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainChineseBasedComponent Context triple: [Barisan Alternatif, mainChineseBasedComponent, Democratic Action Party]
-
A.
majorChineseTranslator
Indicates that one entity serves as a primary or leading translator of Chinese language content for another entity.
-
B.
ChineseVariant
Indicates that one linguistic form is a variant of another within the Chinese language (e.g., differing by script, region, or orthographic convention).
-
C.
ChineseObjective
Indicates that an entity has an objective, goal, or target specifically related to China or the Chinese context.
-
D.
middleChineseOrigin
Indicates that something originates from or is derived from Middle Chinese.
-
E.
hasChineseVersion
Indicates that an entity has a corresponding version or representation available in Chinese.
- F. None of above. chosen
Provenance (4 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: May 3, 2026, 4:15 p.m.