Triple
T22628945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gia Lai |
E558497
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Pleiku |
—
|
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: Pleiku | Statement: [Gia Lai, capital, Pleiku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pleiku Context triple: [Gia Lai, capital, Pleiku]
-
A.
Pleiku
chosen
Pleiku is a city in Vietnam’s Central Highlands known as a regional hub for coffee production and as a strategic site during the Vietnam War.
-
B.
Tuy Hoa
Tuy Hoa is a coastal city in south-central Vietnam known for its beaches, rice fields, and role as the capital of Phú Yên Province.
-
C.
Bien Hoa
Bien Hoa is a major industrial city in southern Vietnam, located near Ho Chi Minh City and known for its large manufacturing zones and economic importance.
-
D.
Pleiku Province
Pleiku Province was a former province in Vietnam’s Central Highlands, historically significant as a major military area during the Vietnam War.
-
E.
Lao Bảo
Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3febd081909ff21abef1e4035d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3:02 p.m.