Triple
T3549015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTT 3.58 m Telescope |
E75064
|
entity |
| Predicate | hasFocalRatio |
P50520
|
FINISHED |
| Object | approximately f/11 at Cassegrain focus |
—
|
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: approximately f/11 at Cassegrain focus | Statement: [NTT 3.58 m Telescope, hasFocalRatio, approximately f/11 at Cassegrain focus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFocalRatio Context triple: [NTT 3.58 m Telescope, hasFocalRatio, approximately f/11 at Cassegrain focus]
-
A.
hasFocalRatioRange
Indicates that an entity is associated with a range of possible focal ratios, specifying the minimum and maximum f-number values it can have.
-
B.
hasFocalPlane
Indicates that an optical system or imaging device possesses a specific focal plane where light is brought into focus.
-
C.
focalLength
Indicates the distance between a lens or mirror and its focal point, determining how strongly it converges or diverges light.
-
D.
hasAperture
Indicates that one entity possesses or is characterized by a specific opening, gap, or aperture.
-
E.
hasNoConventionalFocalPoint
Indicates that something lacks a single, traditional center of attention or primary point that visually or conceptually draws focus.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd278348190ad2fa54f4a423541 |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:20 p.m.