Triple
T22818078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata-Au |
E565152
|
entity |
| Predicate | hasCatchmentAreaApproxKm2 |
P28955
|
FINISHED |
| Object | 21960 |
—
|
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: 21960 | Statement: [Mata-Au, hasCatchmentAreaApproxKm2, 21960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchmentAreaApproxKm2 Context triple: [Mata-Au, hasCatchmentAreaApproxKm2, 21960]
-
A.
hasCatchmentAreaSize
Indicates the size or extent of the geographic area from which something (e.g., a facility or service) draws its users, resources, or influence.
-
B.
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.
-
C.
catchmentArea
Indicates the geographic area from which something (such as a facility, service, or natural feature) draws or collects people, resources, or water.
-
D.
areaApproxKm2
Indicates that one entity has an approximate area, measured in square kilometers, given by the other entity.
-
E.
drainageAreaApprox
chosen
Indicates that one entity has an approximate drainage area measured or characterized by the other 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dce762c8190934fb921f942c9fd |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.