Triple
T12176295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WASP-96 |
E290094
|
entity |
| Predicate | planetCountConfirmed |
P98981
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [WASP-96, planetCountConfirmed, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planetCountConfirmed Context triple: [WASP-96, planetCountConfirmed, 1]
-
A.
planetaryCountConsidered
Indicates that a specific number of planets is taken into account or evaluated within a given context or analysis.
-
B.
hasNumberOfConfirmedPlanets
chosen
Indicates the relationship that specifies how many planets within a given system or context have been confirmed to exist.
-
C.
numberOfStarsWithPlanets
Indicates the count of stars that have one or more planets associated with them.
-
D.
numberOfReportedPlanetCandidates
Indicates the count of planet candidates that have been reported or identified in a given context or dataset.
-
E.
hasApproximateNumberOfKnownMoons
Indicates that an entity is associated with an estimated or non-exact count of moons known to orbit it.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.