Triple
T32871551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Small |
E840805
|
entity |
| Predicate | throwsIntoRiver |
P175536
|
FINISHED |
| Object | Agra treasure |
—
|
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: Agra treasure | Statement: [Jonathan Small, throwsIntoRiver, Agra treasure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: throwsIntoRiver Context triple: [Jonathan Small, throwsIntoRiver, Agra treasure]
-
A.
castIntoSeaBy
Indicates that one entity causes another entity to be thrown or sent into the sea.
-
B.
castIntoSeaIn
Indicates that an entity is thrown or cast into a particular sea or body of seawater at a specified location or context.
-
C.
thrownThrough
Indicates that one entity has been propelled with force so that it passes through another entity or barrier.
-
D.
throws
Indicates that one entity propels or hurls another entity or object through space, typically by a deliberate physical action.
-
E.
rapedBy
Indicates that one entity has been subjected to non-consensual sexual assault committed by another 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:17 a.m.