Triple
T17619385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bình Thuận province |
E429667
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Phan Thiết |
—
|
NE NERFINISHED |
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: Phan Thiết | Statement: [Bình Thuận province, contains, Phan Thiết]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phan Thiết Context triple: [Bình Thuận province, contains, Phan Thiết]
-
A.
Phan Thiết
chosen
Phan Thiết is a coastal city in south-central Vietnam known for its fishing industry, beaches, and nearby resort area of Mũi Né.
-
B.
Nha Trang
Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
-
C.
Vung Tau
Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
-
D.
Tuy Hòa city
Tuy Hòa city is a coastal urban center in south-central Vietnam known for its beaches, rice fields, and role as the administrative and economic hub of Phú Yên province.
-
E.
Quy Nhơn
Quy Nhơn is a coastal city in central Vietnam known for its beaches, seafood, and growing role as a regional economic and tourism hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3547d88190ae3c9ffed63133c9 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.