Triple
T26509825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESO ELT |
E669647
|
entity |
| Predicate | mirrorSegmentMaterial |
P135091
|
FINISHED |
| Object | glass-ceramic |
—
|
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: glass-ceramic | Statement: [ESO ELT, mirrorSegmentMaterial, glass-ceramic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mirrorSegmentMaterial Context triple: [ESO ELT, mirrorSegmentMaterial, glass-ceramic]
-
A.
materialParameter
Indicates a relationship where a specific parameter or property is associated with, or characterizes, a material in a given context.
-
B.
materialEffect
Indicates that one material causes, influences, or brings about a change in the properties, behavior, or state of another material or system.
-
C.
shadeMaterial
Indicates that one entity serves as the material or substance used to provide shade for another entity.
-
D.
mosaicMaterial
Indicates that something is made of, or incorporates, a specified material in its mosaic construction.
-
E.
hasMirrorOrLensMaterial
chosen
Indicates that an object’s mirror or lens component is made from a specified material.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613906718819093fcde1fceec8bee |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:19 a.m.