Triple
T26509690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ELT site at Cerro Armazones |
E669644
|
entity |
| Predicate | scienceGoalsEnabled |
P64732
|
FINISHED |
| Object | exoplanet characterization |
—
|
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: exoplanet characterization | Statement: [ELT site at Cerro Armazones, scienceGoalsEnabled, exoplanet characterization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scienceGoalsEnabled Context triple: [ELT site at Cerro Armazones, scienceGoalsEnabled, exoplanet characterization]
-
A.
scienceGoals
Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
-
B.
hasResearchGoal
chosen
Indicates that an entity has a specific research objective, aim, or target it is pursuing or designed to address.
-
C.
scienceReturn
Indicates that an action or process yields scientific data, findings, or value as its outcome.
-
D.
hasPlanningGoal
Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
-
E.
hasMaintenanceGoal
Indicates that an entity is associated with a specific objective or target related to its upkeep, repair, or ongoing maintenance activities.
- 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_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 1:19 a.m.