Triple
T15160716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panerai |
E362205
|
entity |
| Predicate | waterResistanceFocus |
P17203
|
FINISHED |
| Object | professional diving specifications |
—
|
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: professional diving specifications | Statement: [Panerai, waterResistanceFocus, professional diving specifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterResistanceFocus Context triple: [Panerai, waterResistanceFocus, professional diving specifications]
-
A.
waterResistanceRating
chosen
Indicates the level to which something can resist water penetration or damage under specified conditions.
-
B.
dustResistanceRating
Indicates the level or degree to which something is protected against or unaffected by dust.
-
C.
timeInWater
Indicates the duration or amount of time that an entity spends in water.
-
D.
watchMovementType
Indicates the type of mechanical or electronic movement mechanism that drives how a watch operates.
-
E.
waterTolerance
Indicates the degree to which an entity can withstand or function effectively in the presence of water.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.