Triple
T16857900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shivagrha inscription |
E409832
|
entity |
| Predicate | chronologyEvidenceFor |
P125261
|
FINISHED |
| Object | construction date of Prambanan |
—
|
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: construction date of Prambanan | Statement: [Shivagrha inscription, chronologyEvidenceFor, construction date of Prambanan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyEvidenceFor Context triple: [Shivagrha inscription, chronologyEvidenceFor, construction date of Prambanan]
-
A.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
B.
chronologyIncludes
Indicates that a broader chronological sequence or timeline encompasses a specific time span, event, or period as part of it.
-
C.
chronologyNote
Indicates a note that explains or clarifies the temporal order, dating, or sequence of related events or records.
-
D.
chronologyUsedBy
Indicates that a particular system, method, or scheme of chronological ordering is employed or adopted by a given entity.
-
E.
chronologyCertainty
Indicates the degree of confidence or uncertainty about the ordering or dating of events or temporal relationships.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37ef4748190b149d98fc0ab4205 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:24 a.m.