Triple
T15678958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahj al-Balagha |
E377521
|
entity |
| Predicate | compilerDeathYearGregorian |
P119728
|
FINISHED |
| Object | 1015 CE |
—
|
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: 1015 CE | Statement: [Nahj al-Balagha, compilerDeathYearGregorian, 1015 CE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compilerDeathYearGregorian Context triple: [Nahj al-Balagha, compilerDeathYearGregorian, 1015 CE]
-
A.
yearOfDeath
Indicates the specific year in which an entity (typically a person or organism) died.
-
B.
deathYearApproximate
Indicates that the year of an entity’s death is known only approximately rather than as an exact calendar year.
-
C.
yearOfAuthorDeathRelation
Indicates the specific year in which the referenced author died.
-
D.
deathYearInferredFrom
Indicates that an entity’s year of death is not directly known but has been deduced based on other available information or evidence.
-
E.
compilerDeathYearHijri
Indicates the Hijri (Islamic calendar) year in which the compiler of a work died.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2f1640819086efd5a73bb9734a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.