Triple
T4306754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cần Thơ |
E99971
|
entity |
| Predicate | hasUrbanDistrict |
P11388
|
FINISHED |
| Object |
Ô Môn
Ô Môn is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its agricultural activities and growing urban development.
|
E429175
|
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: Ô Môn | Statement: [Cần Thơ, hasUrbanDistrict, Ô Môn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ô Môn Context triple: [Cần Thơ, hasUrbanDistrict, Ô Môn]
-
A.
Xuan Dieu
Xuan Dieu is a popular street and neighborhood in Hanoi’s Tay Ho District, known for its lakeside views, expatriate community, and vibrant mix of cafes, restaurants, and shops.
-
B.
Minginish
Minginish is a rugged peninsula on the Isle of Skye in Scotland, known for its dramatic coastal scenery and proximity to the Cuillin mountains.
-
C.
Ohimini
Ohimini is a local government area in Benue State, Nigeria, traditionally inhabited by the Idoma people.
-
D.
Nam Ou
Nam Ou is a significant river in northern Laos known for its scenic valleys, hydropower dams, and role in regional transport and livelihoods.
-
E.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
- 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: Ô Môn Triple: [Cần Thơ, hasUrbanDistrict, Ô Môn]
Generated description
Ô Môn is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its agricultural activities and growing urban development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ô Môn Target entity description: Ô Môn is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its agricultural activities and growing urban development.
-
A.
Xuan Dieu
Xuan Dieu is a popular street and neighborhood in Hanoi’s Tay Ho District, known for its lakeside views, expatriate community, and vibrant mix of cafes, restaurants, and shops.
-
B.
Minginish
Minginish is a rugged peninsula on the Isle of Skye in Scotland, known for its dramatic coastal scenery and proximity to the Cuillin mountains.
-
C.
Ohimini
Ohimini is a local government area in Benue State, Nigeria, traditionally inhabited by the Idoma people.
-
D.
Nam Ou
Nam Ou is a significant river in northern Laos known for its scenic valleys, hydropower dams, and role in regional transport and livelihoods.
-
E.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350bb78cc8190a850aca47d8711cf |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c756809c8190af90c91ec7883e55 |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c804f3f881908dd2d020d07c4859 |
completed | March 14, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c84e48b8819080571f995d8baf13 |
completed | March 14, 2026, 8:42 p.m. |
Created at: March 12, 2026, 11:09 p.m.