Triple
T20072345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shi |
E499768
|
entity |
| Predicate | neighboringEthnicGroups |
P11274
|
FINISHED |
| Object | Tembo |
—
|
NE NERFINISHED |
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: Tembo | Statement: [Shi, neighboringEthnicGroups, Tembo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tembo Context triple: [Shi, neighboringEthnicGroups, Tembo]
-
A.
Tembo
Tembo is a data platform and tooling ecosystem built around PostgreSQL, designed to simplify deploying, managing, and scaling Postgres-based applications.
-
B.
Tembo
chosen
Tembo are a Bantu-speaking ethnic group primarily inhabiting the eastern region of the Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
-
C.
Wamba
Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
-
D.
Wamba
Wamba is a town located in the northeastern part of the Democratic Republic of the Congo.
-
E.
Wamba
Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664392c748190a6cc472f80b8c74b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.