Triple
T806551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassegrain focus |
E17448
|
entity |
| Predicate | requiresAlignment |
P21255
|
FINISHED |
| Object | primary mirror |
—
|
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: primary mirror | Statement: [Cassegrain focus, requiresAlignment, primary mirror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresAlignment Context triple: [Cassegrain focus, requiresAlignment, primary mirror]
-
A.
alignsWith
Indicates that one entity is in agreement, harmony, or consistent correspondence with another in terms of position, direction, standard, or principle.
-
B.
reasonForAlignment
Indicates the justification or cause that explains why one entity’s alignment, stance, or position corresponds to or matches another.
-
C.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
D.
alignmentConcept
Indicates a conceptual or abstract relationship of alignment or correspondence between entities, such as agreement, compatibility, or shared orientation in some dimension.
-
E.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ac07fedc8190ab05595f25c1792f |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7221c081908068e66fe720f26d |
completed | March 1, 2026, 9:06 p.m. |
| PDg | Predicate description generation | batch_69a4ac0688708190b62ac0a8239ec8c8 |
completed | March 1, 2026, 9:13 p.m. |
Created at: March 1, 2026, 7:38 p.m.