Triple
T8327774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lofa County |
E194997
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Voinjama |
E725266
|
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: Voinjama | Statement: [Lofa County, hasCity, Voinjama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voinjama Context triple: [Lofa County, hasCity, Voinjama]
-
A.
Voinjama
chosen
Voinjama is a town in northern Liberia that serves as an important administrative and commercial center near the border with Guinea and Sierra Leone.
-
B.
Jamaame
Jamaame is a significant urban and economic center in southern Somalia’s Jubaland region, known especially for its agricultural production and location along the Jubba River.
-
C.
Vaini
Vaini is a coastal village and district on the southern side of Tongatapu in Tonga, known as one of the island’s main population centers.
-
D.
Vangunu
Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
-
E.
Dangamvura
Dangamvura is a residential suburb of Mutare, a major city in eastern Zimbabwe.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f8243288190b1ae74d69395fc91 |
completed | March 31, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde78855908190a87a0d3456c0e8ef |
completed | April 2, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:56 p.m.