Triple
T3498606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brawijaya V |
E73909
|
entity |
| Predicate | hasNumberInRegnalName |
P3023
|
FINISHED |
| Object | V |
—
|
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: V | Statement: [Brawijaya V, hasNumberInRegnalName, V]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberInRegnalName Context triple: [Brawijaya V, hasNumberInRegnalName, V]
-
A.
tookRegnalName
Indicates that a person adopted and used a specific official regnal name upon assuming a throne or sovereign rulership.
-
B.
royalDesignationYear
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
-
C.
monarchNumber
chosen
Indicates the ordinal position or sequence number assigned to a monarch within a line of rulers.
-
D.
dynasticNumber
Indicates the ordinal position or identifying number assigned to a dynasty within a historical or genealogical sequence.
-
E.
hasInscriptionFromReignOf
Indicates that an object bears an inscription created during the reign of a specified ruler or authority.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd3ad548190abbfae820bf3b66d |
completed | March 8, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.