Triple
T14372505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Wellington |
E356389
|
entity |
| Predicate | strapInterchangeable |
P113771
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Daniel Wellington, strapInterchangeable, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strapInterchangeable Context triple: [Daniel Wellington, strapInterchangeable, true]
-
A.
strapOption
Indicates a relationship where one entity offers or specifies a particular strap configuration or choice available for another entity.
-
B.
strapColor
Indicates the color attribute of a strap associated with an entity.
-
C.
interchangeSystem
Indicates a relationship where two or more systems are connected in such a way that they can exchange or transfer items, data, or services between them.
-
D.
isInterchange
Indicates that two entities can be substituted or exchanged for one another without affecting the relevant system, function, or outcome.
-
E.
isInterchangeWith
Indicates that two entities can be substituted or exchanged for one another without loss of function, value, or compatibility.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:15 a.m.