Triple
T20696732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Shot |
E508679
|
entity |
| Predicate | hasRideCycleDuration |
P11363
|
FINISHED |
| Object | short ride cycle |
—
|
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 ride cycle | Statement: [Space Shot, hasRideCycleDuration, short ride cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRideCycleDuration Context triple: [Space Shot, hasRideCycleDuration, short ride cycle]
-
A.
hasRideCycle
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
-
B.
rideDuration
chosen
Indicates the length of time that a ride or trip lasts from start to finish.
-
C.
hasTrailDuration
Indicates that an entity (such as a trail or route) is associated with a specific amount of time required to traverse or complete it.
-
D.
hasCyclingDistance
Indicates that there is a specified distance associated with traveling between entities by cycling.
-
E.
hasPilgrimageDuration
Indicates the length of time associated with completing a particular pilgrimage.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1123d7c81908a1d16923437266d |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:10 p.m.