Triple
T10448705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abd Allah ibn Abbas |
E246358
|
entity |
| Predicate | companionshipType |
P28650
|
FINISHED |
| Object | Sahabi |
—
|
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: Sahabi | Statement: [Abd Allah ibn Abbas, companionshipType, Sahabi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companionshipType Context triple: [Abd Allah ibn Abbas, companionshipType, Sahabi]
-
A.
companionshipStatus
Indicates the current state or condition of a relationship of companionship between two or more entities.
-
B.
companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
C.
companionsCategory
chosen
Indicates that one entity is classified under a specific category related to companions or companionship.
-
D.
companionPhysicalAssociation
Indicates a relationship where one entity is physically accompanying or co-located with another as a companion.
-
E.
companionTicketType
Indicates the type or category of ticket that is associated with or issued to a companion of a primary ticket holder.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:16 p.m.