Triple
T25296176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambadi people |
E634222
|
entity |
| Predicate | tandaDefinition |
P105366
|
FINISHED |
| Object | small Lambadi settlements often on village outskirts |
—
|
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: small Lambadi settlements often on village outskirts | Statement: [Lambadi people, tandaDefinition, small Lambadi settlements often on village outskirts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tandaDefinition Context triple: [Lambadi people, tandaDefinition, small Lambadi settlements often on village outskirts]
-
A.
tikanga
Indicates the culturally appropriate, customary, or correct way of doing things within a particular social or cultural context.
-
B.
wordDefinition
chosen
Indicates that one entity provides the meaning or explanation of a word represented by the other entity.
-
C.
tegMeaning
Indicates that one entity expresses, conveys, or stands for the meaning or semantic content of another entity.
-
D.
hasTamga
Indicates that an entity bears or is marked with a specific tamga (a distinctive emblem, brand, or clan/ownership mark).
-
E.
duMeaning
Indicates that one entity expresses, conveys, or signifies a particular meaning or sense in relation to another.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fd2e5ec8190965046138f838057 |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:22 p.m.