Triple
T10447264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lương Sơn District |
E246324
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Kỳ Sơn District |
E249124
|
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: Kỳ Sơn District | Statement: [Lương Sơn District, borderedBy, Kỳ Sơn District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kỳ Sơn District Context triple: [Lương Sơn District, borderedBy, Kỳ Sơn District]
-
A.
Kỳ Sơn District
chosen
Kỳ Sơn District is a rural administrative district in Hòa Bình Province, Vietnam, known for its mountainous terrain and proximity to Hanoi.
-
B.
Lạc Sơn District
Lạc Sơn District is a rural administrative district located in Hòa Bình Province in Vietnam’s northwestern region.
-
C.
Dadu District
Dadu District is an administrative district in the Sindh province of Pakistan, known for its historical archaeological sites and proximity to the Indus River.
-
D.
Quy Chau District
Quy Chau District is a rural administrative district located in the mountainous western part of Nghệ An Province in north-central Vietnam.
-
E.
Thạch Thất District
Thạch Thất District is a suburban district of Hanoi, Vietnam, known for its traditional craft villages, rural landscapes, and growing industrial and educational zones.
- 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_69d933a2daf481908300a12d0f794e4c |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:16 p.m.