Triple
T2925273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Concordia Crescit |
E78827
|
entity |
| Predicate | shortTranslation |
P15005
|
FINISHED |
| Object | Victory Grows Through Harmony |
—
|
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: Victory Grows Through Harmony | Statement: [Victoria Concordia Crescit, shortTranslation, Victory Grows Through Harmony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortTranslation Context triple: [Victoria Concordia Crescit, shortTranslation, Victory Grows Through Harmony]
-
A.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
B.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
-
C.
translationApproximate
chosen
Indicates that one entity is an inexact or approximate translation of another, preserving general meaning but not precise wording or full detail.
-
D.
shortNameInThai
Indicates that an entity has a short or abbreviated name expressed in the Thai language.
-
E.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.