Triple
T16177861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhamo |
E392610
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object |
Bhamo Township
Bhamo Township is an administrative region in Kachin State, northern Myanmar, centered around the town of Bhamo along the Irrawaddy River.
|
E1199852
|
NE FINISHED |
How this triple was built (4 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: Bhamo Township | Statement: [Bhamo, administrativeDivision, Bhamo Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhamo Township Context triple: [Bhamo, administrativeDivision, Bhamo Township]
-
A.
Yamethin Township
Yamethin Township is an administrative township in central Myanmar, located within the Mandalay Region.
-
B.
Ngazun Township
Ngazun Township is an administrative township in central Myanmar, located within the Mandalay Region.
-
C.
Mingaladon Township
Mingaladon Township is a northern suburban township of Yangon, Myanmar, known for hosting the city’s main international airport and several military and residential areas.
-
D.
Tamwe Township
Tamwe Township is a central urban township of Yangon, Myanmar, known for its dense residential neighborhoods, markets, and prominent religious sites.
-
E.
Natogyi Township
Natogyi Township is an administrative township located within Myanmar's central Mandalay Region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bhamo Township Triple: [Bhamo, administrativeDivision, Bhamo Township]
Generated description
Bhamo Township is an administrative region in Kachin State, northern Myanmar, centered around the town of Bhamo along the Irrawaddy River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhamo Township Target entity description: Bhamo Township is an administrative region in Kachin State, northern Myanmar, centered around the town of Bhamo along the Irrawaddy River.
-
A.
Yamethin Township
Yamethin Township is an administrative township in central Myanmar, located within the Mandalay Region.
-
B.
Ngazun Township
Ngazun Township is an administrative township in central Myanmar, located within the Mandalay Region.
-
C.
Mingaladon Township
Mingaladon Township is a northern suburban township of Yangon, Myanmar, known for hosting the city’s main international airport and several military and residential areas.
-
D.
Tamwe Township
Tamwe Township is a central urban township of Yangon, Myanmar, known for its dense residential neighborhoods, markets, and prominent religious sites.
-
E.
Natogyi Township
Natogyi Township is an administrative township located within Myanmar's central Mandalay Region.
- F. None of above. chosen
Provenance (5 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22059e7048190b4592cb1516b5f8d |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffefe4dc08190a6cc43a448ae6554 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a0000a8a74c8190925c4140cf4a8520 |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0004ceda8c8190a358f58f76116a7f |
completed | May 10, 2026, 4:08 a.m. |
Created at: April 10, 2026, 5:02 a.m.