Triple
T38678395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibibio customary law |
E943819
|
entity |
| Predicate | marriageTypeRecognized |
P8399
|
FINISHED |
| Object | customary marriage |
—
|
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: customary marriage | Statement: [Ibibio customary law, marriageTypeRecognized, customary marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageTypeRecognized Context triple: [Ibibio customary law, marriageTypeRecognized, customary marriage]
-
A.
marriageType
chosen
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
B.
regardsMarriageAs
Indicates that one entity holds a particular view, attitude, or evaluative stance toward the institution or concept of marriage.
-
C.
marriageNotRecognizedBy
Indicates that a marital union involving one party is not legally or formally acknowledged as valid by the other specified party or authority.
-
D.
marriageResolvedBy
Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
-
E.
marriagePattern
Indicates the typical form or structure of a marriage relationship, such as how partners are selected, organized, or related within a social or cultural system.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 3, 2026, 4:33 p.m.