Triple
T9866714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruiru River |
E239850
|
entity |
| Predicate | hasCatchmentLandUse |
P25275
|
FINISHED |
| Object | urban development |
—
|
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: urban development | Statement: [Ruiru River, hasCatchmentLandUse, urban development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchmentLandUse Context triple: [Ruiru River, hasCatchmentLandUse, urban development]
-
A.
hasLandUseCharacter
Indicates that one entity possesses or is associated with a particular type or pattern of land use.
-
B.
hasCatchmentAuthority
Indicates that an entity holds official responsibility or authority over managing and regulating a particular catchment area.
-
C.
hasWatershedUse
chosen
Indicates that a particular type of use, activity, or function is associated with or applied to a watershed.
-
D.
hasCatchmentArea
Indicates that a geographic or administrative unit serves as the area from which an entity (such as a facility or service) draws its users, resources, or influence.
-
E.
landUseIncludes
Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d091e48190b10463562d0dc461 |
completed | April 2, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:36 p.m.