Triple
T12509931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starfield |
E299047
|
entity |
| Predicate | numberOfPlanets |
P105337
|
FINISHED |
| Object | over 1000 |
—
|
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: over 1000 | Statement: [Starfield, numberOfPlanets, over 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlanets Context triple: [Starfield, numberOfPlanets, over 1000]
-
A.
planetaryCountConsidered
Indicates that a specific number of planets is taken into account or evaluated within a given context or analysis.
-
B.
numberOfStarsWithPlanets
Indicates the count of stars that have one or more planets associated with them.
-
C.
hasNumberOfConfirmedPlanets
Indicates the relationship that specifies how many planets within a given system or context have been confirmed to exist.
-
D.
numberOfMoons
Indicates the quantity of moons that an astronomical body possesses.
-
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. 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.