Triple
T22999885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta Aquariids |
E572605
|
entity |
| Predicate | peakBroadness |
P150593
|
FINISHED |
| Object | broad peak |
—
|
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: broad peak | Statement: [Delta Aquariids, peakBroadness, broad peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakBroadness Context triple: [Delta Aquariids, peakBroadness, broad peak]
-
A.
peakType
Indicates the specific classification or category of a peak based on its form, prominence, or other defining characteristics.
-
B.
peakRating
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
-
C.
peakUse
Indicates the time, condition, or context in which something reaches its maximum level of use or intensity.
-
D.
peakApproximateMa
Indicates that one entity’s peak value is approximately equal to another entity’s peak value.
-
E.
peakArea
Indicates the measured area under a specific peak in a signal or spectrum, typically representing the magnitude or quantity associated with that peak.
- F. None of above. chosen
Provenance (4 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f6484c8190bfe3f7ea894c43d8 |
completed | April 29, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:50 p.m.