Triple
T32392199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RUA:IND |
E827700
|
entity |
| Predicate | hasReconstitutionMonth |
P6433
|
FINISHED |
| Object | June |
—
|
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: June | Statement: [RUA:IND, hasReconstitutionMonth, June]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstitutionMonth Context triple: [RUA:IND, hasReconstitutionMonth, June]
-
A.
isReconstituted
Indicates that something has been restored or reformed to a prior or functional state after being separated, broken down, or altered.
-
B.
hasMonth
chosen
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
hasRebuiltDate
Indicates the date on which something was rebuilt or reconstructed.
-
D.
wasReconstructed
Indicates that something previously existing was rebuilt or restored after damage, destruction, or alteration.
-
E.
hasReconstitutionPolicy
Indicates that an entity is associated with a specific policy governing how it should be reconstituted, restored, or brought back into its original or intended state.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0224f4b6cc8190a8f79700a9af765f |
completed | May 11, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_6a0223f01eb081909419518fdd45f2a4 |
completed | May 11, 2026, 6:46 p.m. |
Created at: May 1, 2026, 12:52 a.m.