Triple
T7523567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burmese people |
E177834
|
entity |
| Predicate | capitalCityOfCountry |
P8146
|
FINISHED |
| Object | Naypyidaw |
E82022
|
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: Naypyidaw | Statement: [Burmese people, capitalCityOfCountry, Naypyidaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naypyidaw Context triple: [Burmese people, capitalCityOfCountry, Naypyidaw]
-
A.
Naypyidaw
chosen
Naypyidaw is Myanmar’s planned administrative city known for its vast, sparsely populated layout and role as the country’s political center.
-
B.
Nawalapitiya
Nawalapitiya is a town in Sri Lanka known for its tea plantations and hilly terrain, located within the country's Central Province.
-
C.
Napindan
Napindan is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
-
D.
Nujaba
Nujaba refers to a spiritual rank or class of saints in Islamic mysticism, regarded as righteous and divinely aided individuals of high but not supreme spiritual status.
-
E.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c4f32081908b5162f4551adb6d |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84631e6bc819099b3a7819c3ae9a7 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.