Triple
T18673637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eclipse (yacht) |
E456543
|
entity |
| Predicate | antiPaparraziSystemType |
P132247
|
FINISHED |
| Object | laser-based light system |
—
|
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: laser-based light system | Statement: [Eclipse (yacht), antiPaparraziSystemType, laser-based light system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antiPaparraziSystemType Context triple: [Eclipse (yacht), antiPaparraziSystemType, laser-based light system]
-
A.
PPAType
Indicates a specific type or category of a PPA (Power Purchase Agreement) relationship between parties.
-
B.
AIPType
Indicates that an entity is classified by a specific AIP (Artificial Intelligence Program/Protocol) type or category.
-
C.
rackSystemType
Indicates the specific configuration or category of rack system associated with an entity.
-
D.
eraType
Indicates the classification of a time period or era according to its type or category.
-
E.
IntimidatorType
Indicates that one entity acts as a source or type of intimidation toward another entity.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b41cd881908f37bf7c85e96559 |
completed | April 19, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:48 a.m.