Triple
T38640977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 11 |
E938593
|
entity |
| Predicate | waterResistanceDepth |
P17203
|
FINISHED |
| Object | up to 2 meters |
—
|
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: up to 2 meters | Statement: [iPhone 11, waterResistanceDepth, up to 2 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterResistanceDepth Context triple: [iPhone 11, waterResistanceDepth, up to 2 meters]
-
A.
waterResistanceRating
chosen
Indicates the level to which something can resist water penetration or damage under specified conditions.
-
B.
hasDivingDepth
Indicates that an entity is associated with a specific depth to which it can or does dive.
-
C.
dustResistanceRating
Indicates the level or degree to which something is protected against or unaffected by dust.
-
D.
maximumDiveDepth
Indicates the greatest depth below the surface that an entity is capable of or allowed to dive.
-
E.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: May 3, 2026, 4:32 p.m.