Triple
T9126232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burma Socialist Programme Party government |
E218973
|
entity |
| Predicate | headOfState |
P112
|
FINISHED |
| Object | Ne Win |
E354086
|
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: Ne Win | Statement: [Burma Socialist Programme Party government, headOfState, Ne Win]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ne Win Context triple: [Burma Socialist Programme Party government, headOfState, Ne Win]
-
A.
Ne Win
chosen
Ne Win was a Burmese military leader and politician who ruled Myanmar for decades after seizing power in a 1962 coup, establishing an authoritarian socialist regime.
-
B.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
C.
Waibakul
Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
-
D.
Mima
Mima is a character from the 1940 Bing Crosby and Bob Hope comedy film "Road to Singapore."
-
E.
Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8c93d3c8190b003b2b1af2003b2 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030a1042c8190a31c76638a95a2cf |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:18 p.m.