Triple
T1924243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Naked Sun |
E40191
|
entity |
| Predicate | hasInvestigationType |
P11082
|
FINISHED |
| Object | murder investigation |
—
|
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: murder investigation | Statement: [The Naked Sun, hasInvestigationType, murder investigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInvestigationType Context triple: [The Naked Sun, hasInvestigationType, murder investigation]
-
A.
typeOfInvestigation
chosen
Indicates the specific kind or category of investigation being conducted or referred to in the relationship.
-
B.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
-
C.
hasTypeOfExperiment
Indicates that an experiment is associated with or classified under a specific type or category of experiment.
-
D.
hasTypeOfCase
Indicates that an entity is associated with or classified under a particular type or category of case.
-
E.
isInspected
Indicates that an entity is examined or checked by another entity to assess its condition, quality, or compliance.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2359ca0819082b514a34c469b21 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.