Triple
T8442702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hà Nam Province |
E199585
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Thanh Liêm District |
E666103
|
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: Thanh Liêm District | Statement: [Hà Nam Province, hasDistrict, Thanh Liêm District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thanh Liêm District Context triple: [Hà Nam Province, hasDistrict, Thanh Liêm District]
-
A.
Thanh Liem District
chosen
Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
-
B.
Ba Đình District
Ba Đình District is a central urban district of Hanoi, Vietnam, known as the political heart of the country and home to key government buildings and historical sites.
-
C.
Nam Từ Liêm District
Nam Từ Liêm District is an urban district in western Hanoi, Vietnam, known for its rapid development, major sports complexes, and modern residential and commercial areas.
-
D.
Thới Lai District
Thới Lai District is a rural administrative district located within Cần Thơ municipality in Vietnam’s Mekong Delta region.
-
E.
Thanh Xuân District
Thanh Xuân District is an urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and growing commercial development.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe310d8e08190b871bda79acde678 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42328b0c8190869e68226e0b467f |
completed | April 3, 2026, 4:29 a.m. |
Created at: March 30, 2026, 6:08 p.m.