Triple
T3301839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard of the World |
E69352
|
entity |
| Predicate | positionedBrandAs |
P5254
|
FINISHED |
| Object | benchmark for luxury |
—
|
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: benchmark for luxury | Statement: [Standard of the World, positionedBrandAs, benchmark for luxury]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionedBrandAs Context triple: [Standard of the World, positionedBrandAs, benchmark for luxury]
-
A.
brandPositioning
chosen
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
-
B.
positionedAgainst
Indicates that one entity is placed so that it directly faces or is set opposite to another entity, often in close or contacting alignment.
-
C.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
D.
positioning
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
-
E.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a9450481909f0d630e5593085e |
completed | March 8, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.