Triple
T12654082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Tano |
E302236
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Morofou |
E996650
|
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: Morofou | Statement: [Central Tano, hasLanguage, Morofou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morofou Context triple: [Central Tano, hasLanguage, Morofou]
-
A.
Ofogoula
Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
-
B.
Mokuola
Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
-
C.
Morofo
chosen
Morofo is a lesser-known Central Tano language spoken by a community in West Africa, likely within the Akan-related linguistic area.
-
D.
Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
-
E.
Makokou
Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719c18508190a9c28b2526e6b336 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:18 p.m.