Triple
T26528116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bozdoğan Kemeri water network |
E670746
|
entity |
| Predicate | distributesWaterFrom |
P65384
|
FINISHED |
| Object | Valens Aqueduct |
—
|
NE NERFINISHED |
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: Valens Aqueduct | Statement: [Bozdoğan Kemeri water network, distributesWaterFrom, Valens Aqueduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributesWaterFrom Context triple: [Bozdoğan Kemeri water network, distributesWaterFrom, Valens Aqueduct]
-
A.
managesWaterFrom
Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
-
B.
waterDistributionMethod
Indicates how water is delivered, supplied, or allocated from a source to its intended recipients or locations.
-
C.
waterFlowsThrough
Indicates that water moves along a path or channel passing from one location or object to another.
-
D.
transportsWaterFrom
chosen
Indicates that one entity carries or conveys water from a specified source entity to another location or entity.
-
E.
waterAllocatedTo
Indicates that a specified amount or portion of water has been designated or assigned for use by a particular entity, location, or purpose.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 1:33 a.m.