Triple
T18011614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phong Điền district |
E430895
|
entity |
| Predicate | hasWaterwayTransport |
P14751
|
FINISHED |
| Object | boat transport |
—
|
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: boat transport | Statement: [Phong Điền district, hasWaterwayTransport, boat transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterwayTransport Context triple: [Phong Điền district, hasWaterwayTransport, boat transport]
-
A.
transportsWaterTo
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
B.
waterTransport
chosen
Indicates the movement or conveyance of something from one place to another via water-based means such as rivers, seas, or other aquatic routes.
-
C.
waterwayAccess
Indicates that one location has direct access to a waterway (such as a river, canal, or sea route) that can be used for transport, navigation, or related activities.
-
D.
isWaterway
Indicates that one entity is a water-based route or channel (such as a river, canal, or sea lane) used for travel or transport.
-
E.
waterwayThrough
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51fc108819089e6c130a89811bc |
completed | April 19, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:24 a.m.