Triple
T13261459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afonso, Prince of Portugal |
E315806
|
entity |
| Predicate | causeOfNonAccession |
P109196
|
FINISHED |
| Object | early death |
—
|
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: early death | Statement: [Afonso, Prince of Portugal, causeOfNonAccession, early death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfNonAccession Context triple: [Afonso, Prince of Portugal, causeOfNonAccession, early death]
-
A.
reasonForAccession
Indicates the circumstance, cause, or justification that led to an entity’s accession (e.g., how or why someone came into a position, title, or status).
-
B.
reasonForPreservation
Indicates that something is being preserved or maintained for a particular reason, purpose, or justification.
-
C.
preservationCause
Indicates that one entity is the reason or factor responsible for preserving, maintaining, or keeping another entity in its existing state or condition.
-
D.
reasonForAcquisition
Indicates the underlying purpose, motive, or justification for which one entity acquires another entity or asset.
-
E.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:25 p.m.