Triple
T37086755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Malwa |
E918308
|
entity |
| Predicate | honorificForPeriod |
P187640
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Queen of Malwa, honorificForPeriod, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificForPeriod Context triple: [Queen of Malwa, honorificForPeriod, 18th century]
-
A.
honorificForCentury
Indicates a formal title or designation used to respectfully refer to or characterize a particular century.
-
B.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
C.
honorificNameOf
Indicates that one entity is the honorific or respectful name or title used to refer to another entity.
-
D.
honorificForRegime
Indicates that one entity serves as an honorific title or respectful form of address specifically used for a particular regime.
-
E.
honoursPeriod
Indicates the time span during which an honour, award, or recognition is valid, held, or in effect for an entity.
- F. None of above. chosen
Provenance (4 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:14 p.m.