Triple
T4441573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barlow lens |
E95782
|
entity |
| Predicate | alters |
P34126
|
FINISHED |
| Object | light path before it reaches the eyepiece |
—
|
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: light path before it reaches the eyepiece | Statement: [Barlow lens, alters, light path before it reaches the eyepiece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alters Context triple: [Barlow lens, alters, light path before it reaches the eyepiece]
-
A.
modulates
chosen
Indicates that one entity adjusts, regulates, or alters the intensity, frequency, or effect of another entity or process.
-
B.
ally
Indicates a cooperative relationship in which one entity supports, assists, or aligns with another, often for mutual benefit or a shared goal.
-
C.
modification
Indicates a change made to an existing entity, altering its properties, structure, or state from a prior version.
-
D.
amendedFor
Indicates that one entity has been modified or revised specifically to address, correct, or accommodate another entity.
-
E.
turns
Indicates a change in orientation, direction, or state initiated by one entity affecting itself or another entity.
- 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.