Triple
T38455513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tran Van Thoi District |
E912302
|
entity |
| Predicate | hasCanalNetwork |
P37551
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tran Van Thoi District, hasCanalNetwork, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanalNetwork Context triple: [Tran Van Thoi District, hasCanalNetwork, yes]
-
A.
hasCanalOrChannel
chosen
Indicates that one entity possesses, contains, or is traversed by a canal or channel that serves as a conduit or passageway.
-
B.
hasCanalFunction
Indicates that something serves the role or performs the function of a canal, such as conveying or channeling a flow (e.g., water, fluids, or traffic).
-
C.
hasCanalSection
Indicates a relationship where one entity includes, contains, or is associated with a specific section or segment of a canal.
-
D.
hasCanalParallel
Indicates that one canal runs parallel to another canal without intersecting it.
-
E.
hasLocalCableNewsChannel
Indicates that an entity is served by or associated with a local cable television news channel.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a006ef900148190ba52daf566882a03 |
completed | May 10, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_6a006c76ae748190bfe466d7d17d321e |
completed | May 10, 2026, 11:31 a.m. |
Created at: May 3, 2026, 4:31 p.m.