Triple
T12449556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMT International Observatory LLC |
E297492
|
entity |
| Predicate | projectScienceGoals |
P7242
|
FINISHED |
| Object | optical and infrared astronomy |
—
|
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: optical and infrared astronomy | Statement: [TMT International Observatory LLC, projectScienceGoals, optical and infrared astronomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectScienceGoals Context triple: [TMT International Observatory LLC, projectScienceGoals, optical and infrared astronomy]
-
A.
scienceGoals
chosen
Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
-
B.
scienceReturn
Indicates that an action or process yields scientific data, findings, or value as its outcome.
-
C.
hasResearchGoal
Indicates that an entity has a specific research objective, aim, or target it is pursuing or designed to address.
-
D.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
-
E.
positionOnScience
Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
- 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_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. |
Created at: April 8, 2026, 9:56 p.m.