Triple
T11172837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saʿd ibn Abi Waqqas |
E264327
|
entity |
| Predicate | ageAtConversion |
P98248
|
FINISHED |
| Object | about 17 years |
—
|
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: about 17 years | Statement: [Saʿd ibn Abi Waqqas, ageAtConversion, about 17 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtConversion Context triple: [Saʿd ibn Abi Waqqas, ageAtConversion, about 17 years]
-
A.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
B.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
-
C.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
D.
ageAtFirstTransformation
Indicates the age an entity was when it underwent its first transformation or change of state.
-
E.
ageAtMigration
Indicates the age an individual was when they migrated from one place to another.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.