Triple
T10336388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huyện Thanh Oai |
E243018
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Kim Bài |
E857746
|
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: Kim Bài | Statement: [Huyện Thanh Oai, administrativeCenter, Kim Bài]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Bài Context triple: [Huyện Thanh Oai, administrativeCenter, Kim Bài]
-
A.
Kim Bài
chosen
Kim Bài is a township in Hanoi, Vietnam, serving as the administrative and commercial center of Thanh Oai District.
-
B.
Le Kha Phieu
Le Kha Phieu was a Vietnamese politician who served as General Secretary of the Communist Party of Vietnam from 1997 to 2001.
-
C.
Bom Kim
Bom Kim is a Korean-American entrepreneur best known as the founder and CEO of Coupang, one of South Korea’s largest e-commerce companies.
-
D.
Ho Trai
Ho Trai is the ornate scripture library building within Wat Phra Singh in Chiang Mai, traditionally used to house and protect sacred Buddhist texts.
-
E.
Dangsandong
Dangsandong is a neighborhood in Seoul, South Korea, known as a residential and commercial area within the city's southwestern region.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a287408190bbb82e7459ce48da |
completed | April 7, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794fe4fe481908e4c343ceeb5de25 |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:54 a.m.