Triple
T3548946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Technology Telescope |
E75063
|
entity |
| Predicate | mirrorSupportSystem |
P41056
|
FINISHED |
| Object | computer-controlled active support |
—
|
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: computer-controlled active support | Statement: [New Technology Telescope, mirrorSupportSystem, computer-controlled active support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mirrorSupportSystem Context triple: [New Technology Telescope, mirrorSupportSystem, computer-controlled active support]
-
A.
mirrorTechnology
Indicates a relationship where one technology closely reflects, imitates, or duplicates the functionality or design of another.
-
B.
mirrorType
Indicates that one entity is a specific kind or category of mirror in relation to another entity.
-
C.
mirrorCount
Indicates the number of mirrors associated with or present in relation to a given entity or context.
-
D.
maintenanceFeature
chosen
Indicates that one entity serves as a maintenance-related feature, capability, or component associated with another entity.
-
E.
primaryMirrorConfiguration
Indicates the specific structural and optical setup used for a system’s primary mirror.
- 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_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. |
Created at: March 8, 2026, 3:20 p.m.