Triple
T37013705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSA T20 Challenge |
E916017
|
entity |
| Predicate | formatDuration |
P25736
|
FINISHED |
| Object | short-format |
—
|
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-format | Statement: [CSA T20 Challenge, formatDuration, short-format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatDuration Context triple: [CSA T20 Challenge, formatDuration, short-format]
-
A.
typicalFormatDuration
chosen
Indicates the usual or standard length of time associated with a particular format or presentation of something.
-
B.
durationRelative
Indicates that one event or time interval is described in terms of its length relative to another reference duration.
-
C.
showDuration
Indicates the length of time for which something is shown, displayed, or performed.
-
D.
durationUntil
Indicates the length of time remaining from a given starting point until a specified future event or state occurs.
-
E.
differenceFromHumans
Indicates that something differs from humans in one or more characteristics, behaviors, or properties.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.