Triple
T17783558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Njideka |
E443957
|
entity |
| Predicate | givenNameForCulture |
P99146
|
FINISHED |
| Object | Igbo naming tradition |
—
|
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: Igbo naming tradition | Statement: [Njideka, givenNameForCulture, Igbo naming tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givenNameForCulture Context triple: [Njideka, givenNameForCulture, Igbo naming tradition]
-
A.
isGivenNameInCulture
chosen
Indicates that a particular given (first) name is used or recognized within a specified culture or cultural context.
-
B.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
C.
givenNameUsageCountry
Indicates the country in which a particular given name is used or commonly found.
-
D.
givenNameBy
Indicates that one entity has been assigned or provided a specific given (first) name by another entity.
-
E.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487234fc08190b590f20caa431463 |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.