Triple
T22719166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Large Binocular Telescope |
E561813
|
entity |
| Predicate | baselineBetweenMirrors |
P149448
|
FINISHED |
| Object | about 14.4 meters |
—
|
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: about 14.4 meters | Statement: [Large Binocular Telescope, baselineBetweenMirrors, about 14.4 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baselineBetweenMirrors Context triple: [Large Binocular Telescope, baselineBetweenMirrors, about 14.4 meters]
-
A.
mirroredAt
Indicates that one entity is a mirror image or reflection of another entity with respect to a specified axis, plane, or point.
-
B.
mirroredBy
Indicates that one entity serves as a reflective counterpart or reversed representation of another.
-
C.
basedOnAlignmentOf
Indicates a relationship where one entity is determined, derived, or decided according to how closely it aligns with another entity’s position, orientation, or criteria.
-
D.
mirrorsStructureOf
Indicates that one entity’s overall organization, pattern, or arrangement closely corresponds to and reflects the structure of another entity.
-
E.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790fbf9c819082ba7b48801a7b39 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:19 p.m.