Triple
T9250291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lê Văn Trung |
E222303
|
entity |
| Predicate | placeOfActivity |
P1527
|
FINISHED |
| Object | Tây Ninh |
E216870
|
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: Tây Ninh | Statement: [Lê Văn Trung, placeOfActivity, Tây Ninh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tây Ninh Context triple: [Lê Văn Trung, placeOfActivity, Tây Ninh]
-
A.
Tây Ninh Province
chosen
Tây Ninh Province is a region in southern Vietnam known as the spiritual center and birthplace of the syncretic Cao Dai religion.
-
B.
Tây Ninh City
Tây Ninh City is an urban center in southern Vietnam known as the administrative, economic, and cultural hub of Tây Ninh Province, near the Cambodian border.
-
C.
Vĩnh Long
Vĩnh Long is a city and province in Vietnam’s Mekong Delta region, known for its riverine landscapes, fruit orchards, and network of canals and islands.
-
D.
Hau Giang
Hau Giang is a rural province in Vietnam’s Mekong Delta region, known for its extensive waterways, rice paddies, and agricultural economy.
-
E.
Cam Lộ
Cam Lộ is a rural district and township in Quảng Trị Province, central Vietnam, historically significant as a strategic area during the Vietnam War.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f7e9848190939f9199d0c1a572 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bd3fb4c8190a7fa9a60c7f286a0 |
completed | April 4, 2026, 5:04 a.m. |
Created at: March 30, 2026, 7:31 p.m.