Triple
T7935064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Merit of the Police Forces |
E184266
|
entity |
| Predicate | firstInvestituresHeld |
P27999
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [Order of Merit of the Police Forces, firstInvestituresHeld, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInvestituresHeld Context triple: [Order of Merit of the Police Forces, firstInvestituresHeld, early 2000s]
-
A.
firstCoronationHeldFor
Indicates that a particular entity was the subject or beneficiary of the first coronation event associated with another entity.
-
B.
inauguratedBefore
Indicates that one entity’s inauguration occurred earlier in time than another entity’s inauguration.
-
C.
inauguratedWith
Indicates that an event, position, or institution was formally initiated or opened through a specific ceremony, action, or accompanying element.
-
D.
firstOfficeHoldersCount
Indicates the number of individuals who initially held a particular office or position.
-
E.
inauguratedFor
chosen
Indicates that a formal ceremony or event was held to officially begin or dedicate something specifically for a particular entity, role, or purpose.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aec394081909a9569c02ac372af |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.