Triple
T9643820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hà Tây Province |
E233141
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kim Bôi area |
E199586
|
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 Bôi area | Statement: [Hà Tây Province, contains, Kim Bôi area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Bôi area Context triple: [Hà Tây Province, contains, Kim Bôi area]
-
A.
Kim Bôi District
chosen
Kim Bôi District is a rural district of Hòa Bình Province in Vietnam, known for its hot mineral springs and mountainous landscapes.
-
B.
Oriental Bay area
The Oriental Bay area is a popular Wellington waterfront suburb known for its sandy beach, promenade, and scenic views across the harbor.
-
C.
Chon-Kemin area
The Chon-Kemin area is a scenic valley and national park in Kyrgyzstan known for its diverse landscapes, traditional villages, and opportunities for hiking, horseback riding, and eco-tourism.
-
D.
Bansha area
Bansha area is a rural locality and village community situated within County Tipperary in Ireland.
-
E.
Nanshi area
The Nanshi area is Shanghai’s historic old city quarter, known for its traditional streets, markets, and cultural heritage within the modern Huangpu District.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7e2c488190b0f0dfa6d82618c8 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18252c1cc81908d33c9c55d645fbf |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.