Triple
T9406465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagaing Region |
E226599
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Monywa |
E276016
|
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: Monywa | Statement: [Sagaing Region, containsCity, Monywa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monywa Context triple: [Sagaing Region, containsCity, Monywa]
-
A.
Monywa
chosen
Monywa is a significant commercial and transport hub in central Myanmar, known for its trade, agriculture, and nearby Buddhist sites.
-
B.
Monyash
Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
-
C.
Monsula
Monsula was an East Bay punk rock band active in the late 1980s and early 1990s, known for its melodic, politically charged sound within the Gilman Street scene.
-
D.
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.
-
E.
Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c3fc988190ac34cc9e09f8ebfc |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139ce08ec81908a8e81c060667ac3 |
completed | April 4, 2026, 4:18 p.m. |
Created at: March 30, 2026, 7:47 p.m.