Triple
T22113739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusun Bambu |
E546483
|
entity |
| Predicate | hasMaterialTheme |
P147031
|
FINISHED |
| Object | bamboo structures |
—
|
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: bamboo structures | Statement: [Dusun Bambu, hasMaterialTheme, bamboo structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialTheme Context triple: [Dusun Bambu, hasMaterialTheme, bamboo structures]
-
A.
supportsThemingSystem
Indicates that an entity is compatible with and can operate using a theming system for customizable appearance or style.
-
B.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
C.
supportsThemeOf
Indicates that one entity reinforces, aligns with, or contributes to the central theme expressed by another entity.
-
D.
hasMotiveTheme
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
-
E.
hasDayTheme
Indicates that something is associated with or characterized by a theme specifically intended for daytime use or context.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294b9d5c8190897b760ca4f3b09a |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:31 p.m.