Triple
T3471113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plateau State |
E73259
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Anaguta |
E289556
|
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: Anaguta | Statement: [Plateau State, hasEthnicGroup, Anaguta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anaguta Context triple: [Plateau State, hasEthnicGroup, Anaguta]
-
A.
Anaguta
chosen
Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
-
B.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
C.
Errana
Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
-
D.
Guttera
Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
-
E.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3af0cc81909e575828caeaeae0 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680dd2c48190a06c5c320a06a71a |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.