Triple
T4701937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Creek extension corridor |
E104293
|
entity |
| Predicate | followsWatercourseType |
P27890
|
FINISHED |
| Object | man‑made waterway |
—
|
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: man‑made waterway | Statement: [Dubai Creek extension corridor, followsWatercourseType, man‑made waterway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsWatercourseType Context triple: [Dubai Creek extension corridor, followsWatercourseType, man‑made waterway]
-
A.
followsWatercourse
Indicates that one entity runs alongside or traces the path of a watercourse such as a river, stream, or canal.
-
B.
hasWatercourseType
chosen
Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
-
C.
sourceOfWatercourse
Indicates that one entity is the origin or starting point from which a watercourse (such as a river or stream) begins or flows.
-
D.
inflowWatercourse
Indicates that one watercourse flows into or feeds another water body or watercourse.
-
E.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.