Triple
T13179271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burst Alert Telescope |
E313681
|
entity |
| Predicate | supportsObservationOf |
P55914
|
FINISHED |
| Object | afterglows of gamma-ray bursts |
—
|
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: afterglows of gamma-ray bursts | Statement: [Burst Alert Telescope, supportsObservationOf, afterglows of gamma-ray bursts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsObservationOf Context triple: [Burst Alert Telescope, supportsObservationOf, afterglows of gamma-ray bursts]
-
A.
supportsObservation
Indicates that one entity provides evidence, context, or infrastructure that enables or strengthens the validity of an observation made about another entity.
-
B.
supportsObservationSpace
chosen
Indicates that one entity provides or enables an observation space capability for another entity.
-
C.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
D.
supportsObservationModes
Indicates that one entity provides or is compatible with specific modes or methods of observation used by another entity.
-
E.
mayObserve
Indicates that one entity is permitted or allowed to observe, monitor, or watch another entity or process.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:14 p.m.