Triple
T17619310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khánh Hòa province |
E429666
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Ninh Hòa
Ninh Hòa is a coastal town in south-central Vietnam known for its beaches, salt production, and traditional fish sauce industry.
|
E1277406
|
NE FINISHED |
How this triple was built (4 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: Ninh Hòa | Statement: [Khánh Hòa province, hasTown, Ninh Hòa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ninh Hòa Context triple: [Khánh Hòa province, hasTown, Ninh Hòa]
-
A.
Nha Trang
Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
-
B.
Khánh Hòa province
Khánh Hòa province is a coastal region in south-central Vietnam known for its beaches, islands, and the resort city of Nha Trang.
-
C.
Hà Tiên
Hà Tiên is a coastal town in southwestern Vietnam near the Cambodian border, known historically as a trading port and cultural crossroads in the Mekong Delta region.
-
D.
Wanning
Wanning is a county-level coastal city in southeastern Hainan, China, known for its tropical climate, beaches, and surf-friendly bays.
-
E.
Bien Hoa
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ninh Hòa Triple: [Khánh Hòa province, hasTown, Ninh Hòa]
Generated description
Ninh Hòa is a coastal town in south-central Vietnam known for its beaches, salt production, and traditional fish sauce industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ninh Hòa Target entity description: Ninh Hòa is a coastal town in south-central Vietnam known for its beaches, salt production, and traditional fish sauce industry.
-
A.
Nha Trang
Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
-
B.
Khánh Hòa province
Khánh Hòa province is a coastal region in south-central Vietnam known for its beaches, islands, and the resort city of Nha Trang.
-
C.
Hà Tiên
Hà Tiên is a coastal town in southwestern Vietnam near the Cambodian border, known historically as a trading port and cultural crossroads in the Mekong Delta region.
-
D.
Wanning
Wanning is a county-level coastal city in southeastern Hainan, China, known for its tropical climate, beaches, and surf-friendly bays.
-
E.
Bien Hoa
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.
- F. None of above. chosen
Provenance (5 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3547d88190ae3c9ffed63133c9 |
completed | April 19, 2026, 5:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e82b36448190b3b49b864e987f63 |
completed | May 11, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_6a01ecfbeadc819093a647726e0a7f99 |
completed | May 11, 2026, 2:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ed58925481909d8cb01c3428d762 |
completed | May 11, 2026, 2:53 p.m. |
Created at: April 10, 2026, 5:51 a.m.