Triple
T14998483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hai District |
E374020
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Boma Ng’ombe |
E1131051
|
NE 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: Boma Ng’ombe | Statement: [Hai District, seat, Boma Ng’ombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boma Ng’ombe Context triple: [Hai District, seat, Boma Ng’ombe]
-
A.
Boma Ng’ombe
chosen
Boma Ng’ombe is a town in northern Tanzania that serves as an administrative and commercial hub in the Kilimanjaro Region.
-
B.
Boma
Boma is a historic port city on the Congo River in present-day Democratic Republic of the Congo that served as a major colonial administrative and trading center.
-
C.
Boma
Boma is a buffet-style African-inspired restaurant at Disney’s Animal Kingdom Lodge known for its diverse flavors and vibrant, marketplace-like atmosphere.
-
D.
Nkambe
Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
-
E.
Kamwambie
"Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dcbd7c88190ad1a302cd0c6ef28 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:54 a.m.