Triple
T18033162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North/South Implementation Bodies |
E431440
|
entity |
| Predicate | numberOfSubBodies |
P5741
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [North/South Implementation Bodies, numberOfSubBodies, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSubBodies Context triple: [North/South Implementation Bodies, numberOfSubBodies, 6]
-
A.
numberOfSolarSystemObjects
Indicates the quantitative count of solar system objects associated with or contained by a given entity.
-
B.
hasApproximateNumberOfKnownMoons
Indicates that an entity is associated with an estimated or non-exact count of moons known to orbit it.
-
C.
hasNumberOfKnownMoons
Indicates the relationship that specifies how many moons are known to orbit a given celestial body.
-
D.
numberOfMoons
Indicates the quantity of moons that an astronomical body possesses.
-
E.
numberOfConstituents
chosen
Indicates the total count of individual components or members that make up a larger whole or group.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be37a9288190a661c712d269401f |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.