Triple
T15839931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XSPEC |
E384073
|
entity |
| Predicate | supportsEnergyRange |
P1457
|
FINISHED |
| Object | X-ray band |
—
|
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: X-ray band | Statement: [XSPEC, supportsEnergyRange, X-ray band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEnergyRange Context triple: [XSPEC, supportsEnergyRange, X-ray band]
-
A.
typicalEnergyRange
chosen
Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
-
B.
supportedPower
Indicates that an entity is capable of providing, handling, or operating at a specified level or range of power.
-
C.
usesEnergyFrom
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
D.
hasEnergyRole
Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
-
E.
hasEnergyManagement
Indicates that an entity possesses or is associated with a system, capability, or function for monitoring, controlling, or optimizing energy use.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e69360819091ea0556bd66d785 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.