Triple
T9049483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoa |
E216846
|
entity |
| Predicate | primaryRegionsInVietnam |
P64798
|
FINISHED |
| Object | Chợ Lớn |
E400827
|
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: Chợ Lớn | Statement: [Hoa, primaryRegionsInVietnam, Chợ Lớn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chợ Lớn Context triple: [Hoa, primaryRegionsInVietnam, Chợ Lớn]
-
A.
Chợ Lớn
chosen
Chợ Lớn is the historic Chinese-influenced Chinatown district of Ho Chi Minh City, known as a major commercial and cultural hub in southern Vietnam.
-
B.
Londrina
Londrina is a major city in the southern Brazilian state of Paraná known for its significant Japanese Brazilian community and strong agricultural-based economy.
-
C.
Río de Janeiro
Río de Janeiro is a station on Buenos Aires Underground Line A in Argentina’s capital city.
-
D.
Cidade do Maio
Cidade do Maio is the main urban center and administrative capital of Maio Island in Cape Verde, known for its coastal setting and role as the island’s political and economic hub.
-
E.
Rio de Janeiro
Rio de Janeiro is a major Brazilian coastal city famed for its stunning beaches, dramatic landscape, Carnival festival, and iconic Christ the Redeemer statue.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b52cc1881909fb011d9a8af2e18 |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc0fd648190b0dd6cf62605b98f |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.