Triple
T5399952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SheiKra |
E120746
|
entity |
| Predicate | splashdownEffectVisibleTo |
P16366
|
FINISHED |
| Object | park guests near ride area |
—
|
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: park guests near ride area | Statement: [SheiKra, splashdownEffectVisibleTo, park guests near ride area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: splashdownEffectVisibleTo Context triple: [SheiKra, splashdownEffectVisibleTo, park guests near ride area]
-
A.
splashdownLocation
Indicates the place where a returning spacecraft or object lands in water at the end of its flight.
-
B.
visualEffect
chosen
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
C.
splashdownRecoveryShip
Indicates that a ship is used to recover a spacecraft or its crew after splashdown in the ocean.
-
D.
splashdownRecoveryAgency
Indicates the organization responsible for recovering a spacecraft and its crew or cargo after splashdown.
-
E.
specialEffectsBy
Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.