Triple
T17138003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laxgibuu |
E415888
|
entity |
| Predicate | hasClanColorOrDesignElement |
P1529
|
FINISHED |
| Object | wolf imagery in formline art |
—
|
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: wolf imagery in formline art | Statement: [Laxgibuu, hasClanColorOrDesignElement, wolf imagery in formline art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClanColorOrDesignElement Context triple: [Laxgibuu, hasClanColorOrDesignElement, wolf imagery in formline art]
-
A.
hasClanSymbol
Indicates that an entity is associated with a particular clan through a specific identifying symbol.
-
B.
hasEmblemColor
Indicates that an emblem possesses or is characterized by a specific color.
-
C.
hasClubColor
Indicates that a club or team is associated with a specific color or set of colors used to represent it.
-
D.
hasClanBadgePlant
Indicates that an entity’s clan badge features or includes a specific plant as part of its design.
-
E.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d1277881909325ffd2a7aa4873 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.