Triple
T4441576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barlow lens |
E95782
|
entity |
| Predicate | canBePlaced |
P51053
|
FINISHED |
| Object | in front of a camera adapter for astrophotography |
—
|
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: in front of a camera adapter for astrophotography | Statement: [Barlow lens, canBePlaced, in front of a camera adapter for astrophotography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBePlaced Context triple: [Barlow lens, canBePlaced, in front of a camera adapter for astrophotography]
-
A.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
B.
canHold
Indicates that one entity has the capacity or ability to contain, support, or carry another entity.
-
C.
canExistAt
chosen
Indicates that an entity is capable of being present or occurring at a specified location, time, or context.
-
D.
canBring
Indicates that one entity has the ability or permission to bring another entity or item to a particular place or context.
-
E.
canResideIn
Indicates that an entity is capable of living, staying, or being located within a specified place or environment.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:32 p.m.