Triple
T37187140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barisan Alternatif |
E921348
|
entity |
| Predicate | mainMultiracialComponent |
P111672
|
FINISHED |
| Object | Parti Keadilan Nasional |
—
|
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: Parti Keadilan Nasional | Statement: [Barisan Alternatif, mainMultiracialComponent, Parti Keadilan Nasional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainMultiracialComponent Context triple: [Barisan Alternatif, mainMultiracialComponent, Parti Keadilan Nasional]
-
A.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
B.
hasRaciallyMixedProtagonist
Indicates that the primary protagonist in a work is of racially mixed or multiracial background.
-
C.
includesMixedSexRace
Indicates that the group or context involves individuals of more than one sex and more than one race.
-
D.
ethnicComponents
chosen
Indicates that an entity is composed of, associated with, or characterized by one or more specified ethnic groups or ethnic origins.
-
E.
racialStructure
Indicates how racial categories or groupings are organized, distributed, or structured within a given context or system.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.