Triple
T9821239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daikundi Province |
E238534
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Miramor District |
E547895
|
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: Miramor District | Statement: [Daikundi Province, hasDistrict, Miramor District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miramor District Context triple: [Daikundi Province, hasDistrict, Miramor District]
-
A.
Miramor District
chosen
Miramor District is an administrative district located within Daykundi Province in central Afghanistan, known for its predominantly rural communities and mountainous terrain.
-
B.
Duki District
Duki District is an administrative district in Pakistan’s Balochistan province, situated within its predominantly Pashtun-inhabited region.
-
C.
Marzoll district
Marzoll district is a locality within the spa town of Bad Reichenhall in Bavaria, Germany, known for its scenic Alpine setting near the Austrian border.
-
D.
Surselva District
Surselva District is an administrative district in the canton of Graubünden in eastern Switzerland, known for its Romansh-speaking communities and Alpine landscapes.
-
E.
Lince District
Lince District is a centrally located urban district of Lima, Peru, known for its residential neighborhoods, commercial areas, and proximity to the city’s historic and financial centers.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3147ecc81908cfca84c05a367d9 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc78ffcc8190bb26a224350376dc |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.