Triple
T28585170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Sirki |
E723478
|
entity |
| Predicate | assumesFormOf |
P121335
|
FINISHED |
| Object | human prince |
—
|
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: human prince | Statement: [Prince Sirki, assumesFormOf, human prince]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assumesFormOf Context triple: [Prince Sirki, assumesFormOf, human prince]
-
A.
takesFormOf
chosen
Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
-
B.
isFormedFor
Indicates that something is created, established, or brought into existence for a particular purpose, function, or beneficiary.
-
C.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
D.
adoptedInForm
Indicates that something is accepted, implemented, or brought into use within a particular form, format, or structural arrangement.
-
E.
isFormulatedUsing
Indicates that something is created, defined, or expressed by means of a specified method, material, or set of components.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:17 a.m.