Triple
T28533370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Energy Telescope |
E722098
|
entity |
| Predicate | measurementDomain |
P139987
|
FINISHED |
| Object | high-energy astrophysics |
—
|
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: high-energy astrophysics | Statement: [High Energy Telescope, measurementDomain, high-energy astrophysics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementDomain Context triple: [High Energy Telescope, measurementDomain, high-energy astrophysics]
-
A.
measureDomains
chosen
Indicates that a measurement is associated with one or more domains or scopes within which it is defined or applicable.
-
B.
usesMeasureDomain
Indicates that one entity employs or relies on a particular measurement domain or measurement framework as the basis for its values or evaluations.
-
C.
measurement
Indicates a relationship where one entity quantifies or assigns a value to some property, attribute, or extent of another entity according to a defined scale or standard.
-
D.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
E.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 3:30 a.m.