Triple
T2707782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Hakim bi-Amr Allah |
E59383
|
entity |
| Predicate | ascendedToThroneAtAge |
P16922
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [al-Hakim bi-Amr Allah, ascendedToThroneAtAge, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ascendedToThroneAtAge Context triple: [al-Hakim bi-Amr Allah, ascendedToThroneAtAge, 11]
-
A.
ageAtStartOfReign
chosen
Indicates the age an individual was when they began their reign or rule.
-
B.
succeededToThroneAs
Indicates that one entity became the new ruler by taking over the throne in a specified role or title from another entity.
-
C.
royalDesignationYear
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
-
D.
wasCrowned
Indicates that an entity formally received a crown or royal title in a ceremonial act of investiture.
-
E.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda73de1c81908f5d6b0383e23144 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.