Triple
T22555052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nix |
E557657
|
entity |
| Predicate | hasMeanDistanceFrom |
P120034
|
FINISHED |
| Object | Pluto (outer region of system) |
—
|
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: Pluto (outer region of system) | Statement: [Nix, hasMeanDistanceFrom, Pluto (outer region of system)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeanDistanceFrom Context triple: [Nix, hasMeanDistanceFrom, Pluto (outer region of system)]
-
A.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
B.
distancesFrom
chosen
Indicates the measured spatial separation between one entity and one or more other entities.
-
C.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
-
D.
hasWellMeasuredDistances
Indicates that accurate and reliable distance measurements have been obtained between the related entities.
-
E.
hasApproximateDrivingDistanceFrom
Indicates that one entity is located at an estimated or approximate driving distance from another entity, typically measured along road routes rather than as a precise or exact value.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f78d8288190871d54db0a7f454b |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.