Triple
T8390509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimba County |
E197930
|
entity |
| Predicate | hasBorderTown |
P847
|
FINISHED |
| Object | Ganta |
E732378
|
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: Ganta | Statement: [Nimba County, hasBorderTown, Ganta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganta Context triple: [Nimba County, hasBorderTown, Ganta]
-
A.
Ganta
chosen
Ganta is a major commercial hub and rapidly growing city in northeastern Liberia, located near the border with Guinea.
-
B.
Gonja
Gonja are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and historical Gonja kingdom.
-
C.
Guttera
Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
-
D.
Nguna
Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
-
E.
Girga
Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810c5c5c81908e124c64911c4e6c |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d1ffa988190a7b0a6b1017e144d |
completed | April 2, 2026, 7:39 a.m. |
Created at: March 30, 2026, 6:03 p.m.