Triple
T10447259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lương Sơn District |
E246324
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Lương Sơn |
E863211
|
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: Lương Sơn | Statement: [Lương Sơn District, hasAdministrativeCenter, Lương Sơn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lương Sơn Context triple: [Lương Sơn District, hasAdministrativeCenter, Lương Sơn]
-
A.
Lương Sơn
chosen
Lương Sơn is a township in northern Vietnam that serves as the administrative and economic center of Lương Sơn District in Hòa Bình Province.
-
B.
Chúc Sơn
Chúc Sơn is a township in Hanoi, Vietnam, serving as an administrative and commercial center for the surrounding rural area.
-
C.
Mộc Sơn
Mộc Sơn is one of the five famous Marble Mountains near Da Nang, Vietnam, known for its distinctive marble formations and spiritual significance.
-
D.
Jiaoshan
Jiaoshan is a scenic island and historic site in the Yangtze River near Zhenjiang, known for its ancient temples, stone inscriptions, and natural beauty.
-
E.
Dong Dang
Dong Dang is a border town in northern Vietnam that serves as a key railway gateway for international train connections between Vietnam and China.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdc10c8081908a3801fe1dea63de |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fb27f5081909e78bd8029e65948 |
completed | April 10, 2026, 6:58 a.m. |
Created at: April 6, 2026, 12:16 p.m.