Triple
T16736443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzziah |
E406729
|
entity |
| Predicate | fameExtent |
P124443
|
FINISHED |
| Object | reached border of Egypt |
—
|
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: reached border of Egypt | Statement: [Uzziah, fameExtent, reached border of Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fameExtent Context triple: [Uzziah, fameExtent, reached border of Egypt]
-
A.
fameStatus
Indicates the level or state of public recognition or renown associated with an entity.
-
B.
famePeak
Indicates the time or point at which an entity reaches its highest level of fame or public recognition.
-
C.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
D.
associatedWithFameAspect
Indicates that an entity is connected to or characterized by a particular aspect or dimension of fame.
-
E.
unitOfProminence
Indicates that one entity specifies the unit or scale in which the prominence or significance of another entity is measured or expressed.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3a86848190a03f243dd1bdb899 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:20 a.m.