Triple
T2413082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spectacles |
E52238
|
entity |
| Predicate | secondGenerationHasFeature |
P37740
|
FINISHED |
| Object | water-resistant design |
—
|
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: water-resistant design | Statement: [Spectacles, secondGenerationHasFeature, water-resistant design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondGenerationHasFeature Context triple: [Spectacles, secondGenerationHasFeature, water-resistant design]
-
A.
secondGenerationClass
Indicates that one entity is a second-generation class derived from or conceptually following an earlier, first-generation class.
-
B.
secondGenerationEnd
Indicates the point in time or event at which the second generation of a lineage, process, or system concludes.
-
C.
secondGenerationName
Indicates that the object is the name given to the second generation derived from the subject.
-
D.
secondGenerationCode
Indicates that the subject is a second-generation version or iteration of a codebase, derived from and improving upon an earlier generation.
-
E.
secondGenerationProduction
Indicates that the production activity involves a second generation of products, technologies, or processes derived from an earlier initial generation.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc92a4e1c8190819fa676295ac145 |
completed | March 7, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:41 p.m.