Triple
T20874008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inverted Boomerang |
E513969
|
entity |
| Predicate | shuttleOperation |
P142195
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Inverted Boomerang, shuttleOperation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shuttleOperation Context triple: [Inverted Boomerang, shuttleOperation, yes]
-
A.
spaceShuttleFlight
Indicates a specific mission or journey undertaken by a space shuttle between launch and landing.
-
B.
operatesSpaceport
Indicates that one entity manages and runs the facilities and services of a spaceport for spacecraft operations.
-
C.
hasShuttlecraft
Indicates that an entity possesses, controls, or is equipped with one or more shuttlecraft.
-
D.
operatesRocket
Indicates that one entity controls or pilots the operation of a rocket belonging to or used by another entity.
-
E.
associatedShuttleMission
Indicates that there is a relationship linking something (e.g., an object, event, or record) to a specific space shuttle mission with which it is connected or involved.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c46639308190a616193f3975d453 |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:45 p.m.