Triple
T8369915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dai La Citadel |
E197426
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Thành Đại La |
E48177
|
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: Thành Đại La | Statement: [Dai La Citadel, hasAlternativeName, Thành Đại La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thành Đại La Context triple: [Dai La Citadel, hasAlternativeName, Thành Đại La]
-
A.
Đông Đô
chosen
Đông Đô was a historical name for the city now known as Hanoi, which has long served as a major political and cultural center of Vietnam.
-
B.
Guandu
Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
-
C.
Da Yuan
Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
-
D.
Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
-
E.
Ganlu
Ganlu was a historical Chinese era name used during the Cao Wei state of the Three Kingdoms period.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a400888190bef114052f3c4f76 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc7929e388190b35505378d0cf653 |
completed | April 2, 2026, 1:34 a.m. |
Created at: March 30, 2026, 6:01 p.m.