Triple
T23256924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sande society |
E581898
|
entity |
| Predicate | relationshipToPoro |
P151556
|
FINISHED |
| Object | female counterpart of Poro society |
—
|
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: female counterpart of Poro society | Statement: [Sande society, relationshipToPoro, female counterpart of Poro society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToPoro Context triple: [Sande society, relationshipToPoro, female counterpart of Poro society]
-
A.
relationshipToCreature
Indicates a specified type of relational connection that one entity has toward a particular creature.
-
B.
opusRelationship
Indicates a relationship between creative works (opuses), such as versions, adaptations, or parts within a larger compositional whole.
-
C.
relationshipToTopa
Indicates a familial or social relationship that an entity has specifically with Topa.
-
D.
relationshipToKeter
Indicates a relationship in which an entity is connected or related to the concept, object, or category referred to as "Keter."
-
E.
relationToBabo
Indicates a relationship or connection that an entity has to the person or entity referred to as "Babo."
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c5f5bc8190ac8776f7f7430209 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:11 p.m.