Triple
T1338880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Da Nang |
E28418
|
entity |
| Predicate | isDirectlyAdministeredBy |
P86
|
FINISHED |
| Object | central government of Vietnam |
—
|
LITERAL 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: central government of Vietnam | Statement: [Da Nang, isDirectlyAdministeredBy, central government of Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDirectlyAdministeredBy Context triple: [Da Nang, isDirectlyAdministeredBy, central government of Vietnam]
-
A.
administeredBy
chosen
Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
-
B.
administeredAs
Indicates that one entity is given or applied to another entity as a treatment, dose, or intervention.
-
C.
coAdministersWith
Indicates that one entity is administered together with another entity, typically at the same time or as part of the same treatment or process.
-
D.
typeOfAdministration
Indicates the specific form or system of administration applied to or governing an entity.
-
E.
administeredIn
Indicates that an action, treatment, or process is carried out or applied within a specific location, context, or jurisdiction.
- F. None of above.
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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c21303c881908fef0b32831222fe |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.