Triple
T34785665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samaniyya order |
E1002797
|
entity |
| Predicate | transmissionConcept |
P199353
|
FINISHED |
| Object | silsila |
—
|
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: silsila | Statement: [Samaniyya order, transmissionConcept, silsila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transmissionConcept Context triple: [Samaniyya order, transmissionConcept, silsila]
-
A.
transmission
Indicates the transfer or conveyance of something (such as information, energy, or material) from one entity to another.
-
B.
transmissionSystem
Indicates a relationship where one entity functions as or belongs to the system responsible for transmitting power, signals, or information from a source to one or more destinations.
-
C.
transmissionFeature
Indicates a characteristic or attribute related to how something is transmitted or conveyed (e.g., a property of a transmission process or system).
-
D.
transmissionType
Indicates the method or medium through which something is transmitted or conveyed from one entity to another.
-
E.
transmissionModel
Indicates the mechanism or pattern by which something (such as information, disease, or signals) is passed or conveyed from one entity or location 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69ff2fb9e46c8190b36b3e0bc84f114c |
completed | May 9, 2026, 12:59 p.m. |
Created at: May 3, 2026, 3:59 p.m.