Triple
T4689303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holos |
E103994
|
entity |
| Predicate | hasSloganTheme |
P48415
|
FINISHED |
| Object | renewal and change |
—
|
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: renewal and change | Statement: [Holos, hasSloganTheme, renewal and change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSloganTheme Context triple: [Holos, hasSloganTheme, renewal and change]
-
A.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
-
B.
sloganUsedIn
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
C.
hasMarketingTheme
chosen
Indicates that an entity is associated with or characterized by a particular marketing theme or campaign concept.
-
D.
hasNicknameTheme
Indicates that an entity’s nickname is based on or associated with a particular theme or motif.
-
E.
hasTagline
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.