Triple
T27743618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halley’s Comet |
E701919
|
entity |
| Predicate | hasNucleusMeanDiameter |
P182747
|
FINISHED |
| Object | about 11 km |
—
|
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: about 11 km | Statement: [Halley’s Comet, hasNucleusMeanDiameter, about 11 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNucleusMeanDiameter Context triple: [Halley’s Comet, hasNucleusMeanDiameter, about 11 km]
-
A.
hasNucleusDimensions
chosen
Indicates that an entity is associated with specific measurements or size parameters of a nucleus.
-
B.
hasNucleusShape
Indicates that an entity possesses a nucleus with a specific geometric or morphological shape.
-
C.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
D.
isNucleusOf
Indicates that one entity functions as the central or most important core component of another entity.
-
E.
nucleusType
Indicates the specific kind or classification of nucleus associated with an entity.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 27, 2026, 4:13 p.m.