Triple
T7863350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cau Giay District |
E182553
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Dong Da District |
E224889
|
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: Dong Da District | Statement: [Cau Giay District, borderedBy, Dong Da District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dong Da District Context triple: [Cau Giay District, borderedBy, Dong Da District]
-
A.
Dong Da District
chosen
Dong Da District is a central urban district of Hanoi, Vietnam, known for its dense residential areas, historical sites, and role as a major commercial and educational hub of the capital.
-
B.
Dongbao District
Dongbao District is an urban administrative district under the jurisdiction of Jingmen City in Hubei Province, China, serving as the city's central area.
-
C.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
-
D.
Dawan District
Dawan District is an administrative district in Klungkung Regency on the island of Bali, Indonesia.
-
E.
Dong District
Dong District is an administrative district (gu) of Incheon, a major port city in northwestern South Korea.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bfd8a4819093c2ef6d47891a68 |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbdbcede08190af889a5228de01f5 |
completed | April 1, 2026, 6:39 a.m. |
Created at: March 30, 2026, 4:54 p.m.