Triple
T23925137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferhat Water Channel |
E602328
|
entity |
| Predicate | waterSourceRelation |
P4102
|
FINISHED |
| Object | brings water from higher elevations to the city |
—
|
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: brings water from higher elevations to the city | Statement: [Ferhat Water Channel, waterSourceRelation, brings water from higher elevations to the city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSourceRelation Context triple: [Ferhat Water Channel, waterSourceRelation, brings water from higher elevations to the city]
-
A.
waterSource
chosen
Indicates that one entity serves as the source or provider of water for another entity.
-
B.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
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.
riverRelation
Indicates a spatial or geographic relationship between one river and another, such as confluence, branching, or relative positioning.
-
E.
waterSourceState
Indicates the condition or status of a given water source (e.g., whether it is available, functional, or in a particular operational state).
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1bdf108190b3c04146af8c3b3c |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:42 p.m.