Triple
T33829598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eta Aquariids |
E867058
|
entity |
| Predicate | meteorDuration |
P178381
|
FINISHED |
| Object | short-lived streaks |
—
|
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: short-lived streaks | Statement: [Eta Aquariids, meteorDuration, short-lived streaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meteorDuration Context triple: [Eta Aquariids, meteorDuration, short-lived streaks]
-
A.
meteorType
Indicates the classification or category of a meteor based on its type.
-
B.
meteorShower
Indicates an event where numerous meteors enter a planet’s atmosphere in a short period, typically appearing as a concentrated display of shooting stars.
-
C.
meteorCount
Indicates the number of meteors associated with a given context, such as an event, location, or time period.
-
D.
missionDuration
Indicates the length of time over which a mission or operation takes place from start to finish.
-
E.
missionDurationType
Indicates the classification of a mission’s length or time span (e.g., short-term, long-term, extended).
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:46 a.m.