Triple
T13550702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latvian national coat of arms |
E323635
|
entity |
| Predicate | threeStarsRepresent |
P110309
|
FINISHED |
| Object | historical regions of Latvia |
—
|
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: historical regions of Latvia | Statement: [Latvian national coat of arms, threeStarsRepresent, historical regions of Latvia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threeStarsRepresent Context triple: [Latvian national coat of arms, threeStarsRepresent, historical regions of Latvia]
-
A.
smallStarsRepresent
Indicates that small stars are used as symbols or markers to stand for or denote something else.
-
B.
isThreeStarRank
Indicates that an entity holds or is assigned a three-star rank or rating within a defined ranking system.
-
C.
thirdLevelRepresents
Indicates that something serves as a representation or abstraction of another thing at a third level in a hierarchical or multi-level representational structure.
-
D.
typicalStar
Indicates that an entity is a representative or characteristic example of stars in general, exhibiting the usual or expected properties of stars.
-
E.
scoreMeaning_3
Indicates a specific interpretation or significance associated with a particular score or scoring outcome.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:46 p.m.