Triple
T38678396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibibio customary law |
E943819
|
entity |
| Predicate | marriageFeature |
P95688
|
FINISHED |
| Object | payment of bridewealth |
—
|
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: payment of bridewealth | Statement: [Ibibio customary law, marriageFeature, payment of bridewealth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageFeature Context triple: [Ibibio customary law, marriageFeature, payment of bridewealth]
-
A.
marriageMarketFeature
Indicates a characteristic or attribute that influences how individuals are evaluated or positioned within a marriage or mate-selection context.
-
B.
marriageCharacterization
Indicates how a marriage is described, evaluated, or characterized in terms of its qualities, dynamics, or nature.
-
C.
marriesFor
Indicates that one entity enters into marriage with another entity specifically for a particular reason, motive, or benefit.
-
D.
marriageType
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
E.
marriageProvision
chosen
Indicates that one party provides for, supports, or makes arrangements related to another party’s marriage (such as financial, legal, or material provisions).
- 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_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 3, 2026, 4:33 p.m.