Triple
T12557813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | intensity interferometer |
E295262
|
entity |
| Predicate | resolutionDeterminedBy |
P105885
|
FINISHED |
| Object | baseline length between telescopes |
—
|
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: baseline length between telescopes | Statement: [intensity interferometer, resolutionDeterminedBy, baseline length between telescopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resolutionDeterminedBy Context triple: [intensity interferometer, resolutionDeterminedBy, baseline length between telescopes]
-
A.
resolutionClass
Indicates the category or type of resolution applied to address or conclude a particular issue, conflict, or process.
-
B.
resolutionRequires
Indicates that resolving one issue, task, or condition depends on first completing or satisfying another specified prerequisite.
-
C.
resolutionCommon
Indicates that multiple entities share the same resolution or level of detail in a given context.
-
D.
resolutionLeadsTo
Indicates that achieving a particular resolution or decision directly brings about or causes a subsequent outcome or state.
-
E.
resolutionType
Indicates the specific manner or category by which an issue, event, or conflict is resolved or brought to a conclusion.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 11:47 p.m.