Triple
T36796712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lens Explorer |
E909202
|
entity |
| Predicate | enablesDiscoveryOf |
P98632
|
FINISHED |
| Object | new Lenses beyond main carousel |
—
|
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: new Lenses beyond main carousel | Statement: [Lens Explorer, enablesDiscoveryOf, new Lenses beyond main carousel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enablesDiscoveryOf Context triple: [Lens Explorer, enablesDiscoveryOf, new Lenses beyond main carousel]
-
A.
supportedDiscoveryOf
Indicates that one entity aided, enabled, or contributed to another entity’s act of discovering something.
-
B.
namedForDiscoveryOf
Indicates that one entity is named in recognition of another entity’s discovery of something.
-
C.
hasDiscoveryFeature
chosen
Indicates that an entity includes or supports a capability for discovering, finding, or surfacing other relevant entities, items, or information.
-
D.
attributedDiscovery
Indicates that the discovery of something is credited or assigned to a particular agent or entity.
-
E.
discoveryTarget
Indicates that one entity is the object, subject, or focus that another entity discovers or aims to discover.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.