Triple
T23503724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | III Corps (South Vietnam) |
E572225
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Bien Hoa |
—
|
NE NERFINISHED |
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: Bien Hoa | Statement: [III Corps (South Vietnam), headquartersLocation, Bien Hoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bien Hoa Context triple: [III Corps (South Vietnam), headquartersLocation, Bien Hoa]
-
A.
Bien Hoa
chosen
Bien Hoa is a major industrial city in southern Vietnam, located near Ho Chi Minh City and known for its large manufacturing zones and economic importance.
-
B.
Lao Bảo
Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
-
C.
Huong Tra
Huong Tra is a town-level administrative unit in central Vietnam’s Thua Thien Hue province, situated near the historic city of Hue.
-
D.
Tuy Hoa
Tuy Hoa is a coastal city in south-central Vietnam known for its beaches, rice fields, and role as the capital of Phú Yên Province.
-
E.
Thuan An
Thuan An is a rapidly developing urban town in southern Vietnam known for its industrial zones and proximity to Ho Chi Minh City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fedbec8190b183661edaba4cd4 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.