Triple
T34232061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivier Marchal |
E878221
|
entity |
| Predicate | hasWorkedAsPoliceOfficerIn |
P17879
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [Olivier Marchal, hasWorkedAsPoliceOfficerIn, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkedAsPoliceOfficerIn Context triple: [Olivier Marchal, hasWorkedAsPoliceOfficerIn, France]
-
A.
isLawEnforcement
Indicates that an entity serves in an official capacity to enforce laws, maintain public order, and uphold legal regulations.
-
B.
hasWorkedIn
chosen
Indicates that a person has been employed or has performed work within a particular organization, location, or domain for some period of time.
-
C.
hasLawEnforcementHistory
Indicates that an entity has a record of past involvement with law enforcement, such as prior incidents, investigations, or offenses.
-
D.
hasPolicePartner
Indicates that one entity has another entity as its partner in a police or law-enforcement context.
-
E.
isPartOfLawEnforcementSystem
Indicates that an entity belongs to, operates within, or functionally contributes to a law enforcement system or framework.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: May 1, 2026, 1:56 a.m.