Triple
T6607082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can Tho municipality |
E149144
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Cần Thơ |
E99971
|
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: Cần Thơ | Statement: [Can Tho municipality, shortName, Cần Thơ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cần Thơ Context triple: [Can Tho municipality, shortName, Cần Thơ]
-
A.
Cần Thơ
chosen
Cần Thơ is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region.
-
B.
Mỹ Tho
Mỹ Tho is a city in southern Vietnam’s Mekong Delta, known as a historic river port and a popular gateway for boat tours among the region’s islands and canals.
-
C.
Bến Tre
Bến Tre is a coastal province in Vietnam’s Mekong Delta, known for its extensive coconut plantations and riverine landscapes.
-
D.
Gò Công
Gò Công is a coastal town and district-level area in Tiền Giang Province in southern Vietnam, known historically for its role in the Mekong Delta region.
-
E.
Long Xuyen
Long Xuyen is a major city in Vietnam’s Mekong Delta region, serving as the capital of An Giang Province and an important economic and cultural center.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af15c0e481908c5d2917360b075e |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43cc42081909762eec710773f40 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.