Triple
T2962631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Gehrels Swift Observatory |
E80082
|
entity |
| Predicate | pointingCapability |
P39122
|
FINISHED |
| Object | rapid response to gamma-ray burst triggers |
—
|
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: rapid response to gamma-ray burst triggers | Statement: [Neil Gehrels Swift Observatory, pointingCapability, rapid response to gamma-ray burst triggers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointingCapability Context triple: [Neil Gehrels Swift Observatory, pointingCapability, rapid response to gamma-ray burst triggers]
-
A.
trackpadType
Indicates the specific kind or category of trackpad associated with or used by an entity.
-
B.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
-
C.
isCapableOf
chosen
Indicates that an entity has the ability or capacity to perform a particular action or function.
-
D.
hasTouchControls
Indicates that an entity supports or is operated through touch-based input controls.
-
E.
supportsHardwareCalibration
Indicates that one entity provides the capability or functionality to perform calibration operations on another entity’s hardware.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9955e6488190bea170724d5fbfe8 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.