Triple
T12449518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMT |
E297491
|
entity |
| Predicate | scienceCaseIncludes |
P105076
|
FINISHED |
| Object | direct imaging of exoplanets |
—
|
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: direct imaging of exoplanets | Statement: [TMT, scienceCaseIncludes, direct imaging of exoplanets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scienceCaseIncludes Context triple: [TMT, scienceCaseIncludes, direct imaging of exoplanets]
-
A.
investigatesCase
Indicates that one entity conducts an investigation into a particular case involving events, issues, or individuals.
-
B.
incorporatedByCase
Indicates that one legal case formally incorporates, adopts, or integrates the content, reasoning, or outcome of another case.
-
C.
issueIncludes
Indicates that an issue or problem encompasses, contains, or involves a specified element, component, or sub-issue as part of its scope.
-
D.
hasCase
Indicates that one entity is involved in, associated with, or characterized by a particular case, instance, or occurrence represented by another entity.
-
E.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d9511989ac8190ade98f52f66f7cd4 |
completed | April 10, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:56 p.m.