Triple
T2754767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collar City |
E61072
|
entity |
| Predicate | brandingRole |
P41673
|
FINISHED |
| Object | used in local tourism promotion |
—
|
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: used in local tourism promotion | Statement: [Collar City, brandingRole, used in local tourism promotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandingRole Context triple: [Collar City, brandingRole, used in local tourism promotion]
-
A.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
B.
brandingGoal
Indicates the strategic objective or desired outcome that an entity aims to achieve through its branding efforts.
-
C.
brandingNote
Indicates that an entity has an associated note or comment specifically about its branding, such as style, usage, or presentation guidelines.
-
D.
brandingScope
Indicates the extent or range within which a particular brand identity, strategy, or elements are applied or recognized.
-
E.
brandPositioning
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb7073d081909da84b21015972f2 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd91497ec8190927e91ad33549eda |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:56 p.m.