Triple
T13367746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aka-Bo |
E318983
|
entity |
| Predicate | languageDeathEvent |
P43860
|
FINISHED |
| Object | death of Boa Sr. in 2010 |
—
|
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: death of Boa Sr. in 2010 | Statement: [Aka-Bo, languageDeathEvent, death of Boa Sr. in 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageDeathEvent Context triple: [Aka-Bo, languageDeathEvent, death of Boa Sr. in 2010]
-
A.
deathDateEvent
Indicates the date on which a death occurred or a death-related event took place.
-
B.
lastNativeSpeakersDiedOut
chosen
Indicates that the final remaining native speakers of a language or dialect have died, resulting in the loss of native speech for that language.
-
C.
deathDuringEvent
Indicates that an entity died while a specified event was occurring.
-
D.
ceasedAsSpokenLanguage
Indicates that a language is no longer used as a medium of everyday spoken communication.
-
E.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced entity.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd652d48190a782fd1f57f34b6a |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.