Triple
T27388275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula River |
E691443
|
entity |
| Predicate | receivesWastewaterFrom |
P147515
|
FINISHED |
| Object | Mexico City |
—
|
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: Mexico City | Statement: [Tula River, receivesWastewaterFrom, Mexico City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesWastewaterFrom Context triple: [Tula River, receivesWastewaterFrom, Mexico City]
-
A.
wastewaterSource
chosen
Indicates that one entity serves as the origin or producer of wastewater that is associated with another entity.
-
B.
treatsWastewaterFor
Indicates that one entity processes and purifies wastewater on behalf of another entity or location.
-
C.
receivesTributariesFrom
Indicates that one entity serves as the main body that is fed or supplemented by incoming tributary entities.
-
D.
wasteManagementFacility
Indicates a facility where waste materials are collected, processed, treated, or disposed of as part of a waste management system.
-
E.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 12:25 p.m.