Triple
T38683651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Inspector Oxford |
E949056
|
entity |
| Predicate | settingOfInvestigations |
P41244
|
FINISHED |
| Object | London |
—
|
NE NERFINISHED |
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: London | Statement: [Chief Inspector Oxford, settingOfInvestigations, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfInvestigations Context triple: [Chief Inspector Oxford, settingOfInvestigations, London]
-
A.
settingOfInvestigation
chosen
Indicates the context, environment, or circumstances in which an investigation takes place.
-
B.
asksToInvestigate
Indicates that one entity requests another entity to carry out an investigation into something.
-
C.
areInvestigatedFor
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
-
D.
containsInvestigationOf
Indicates that one entity includes or encompasses an investigation or inquiry concerning another entity.
-
E.
typeOfInvestigation
Indicates the specific kind or category of investigation being conducted or referred to in the relationship.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 3, 2026, 4:33 p.m.