Triple
T12432862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moho Province |
E297074
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Moho |
E981003
|
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: Moho | Statement: [Moho Province, seat, Moho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moho Context triple: [Moho Province, seat, Moho]
-
A.
Moho
chosen
Moho is a town in southern Peru that serves as an administrative and commercial center on the Altiplano near Lake Titicaca.
-
B.
Muolaa
Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
-
C.
Mvezo
Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
-
D.
Moxhe
Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
-
E.
Mioveni
Mioveni is a Romanian town in Argeș County best known as the site of the Dacia automobile manufacturing plant and related industrial facilities.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7f2fd08190ab959742dbd8f9c0 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f049c9c81908d870b0ee05f2d7e |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.