Triple
T21248753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Darius |
E523684
|
entity |
| Predicate | numberOfSatraps |
P143372
|
FINISHED |
| Object | one hundred and twenty |
—
|
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: one hundred and twenty | Statement: [King Darius, numberOfSatraps, one hundred and twenty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSatraps Context triple: [King Darius, numberOfSatraps, one hundred and twenty]
-
A.
firstSatrap
Indicates that one entity serves as the primary or highest-ranking satrap (provincial governor) in relation to another entity.
-
B.
successorAsSatrapOfBactria
Indicates that one entity became the next satrap (provincial governor) of Bactria after another entity.
-
C.
numberOfCaliphs
Indicates the quantity of caliphs associated with a given entity or context.
-
D.
sideSasanian
Indicates that an entity is aligned with, belongs to, or is on the side of the Sasanian faction or polity in a given context.
-
E.
numberOfMahajanapadas
Indicates the relationship that specifies how many Mahajanapadas (ancient Indian kingdoms or republics) are associated with a given context or entity.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359c7a648190b4345336ac3be024 |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:56 p.m.