Triple
T9621732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Plateau |
E232357
|
entity |
| Predicate | sanitationInfrastructure |
P89306
|
FINISHED |
| Object | insufficient |
—
|
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: insufficient | Statement: [Central Plateau, sanitationInfrastructure, insufficient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sanitationInfrastructure Context triple: [Central Plateau, sanitationInfrastructure, insufficient]
-
A.
hasAblutionFacilities
Indicates that an entity provides or is equipped with facilities for performing ablution or ritual washing.
-
B.
waterInfrastructure
Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
-
C.
treatsWastewaterFor
Indicates that one entity processes and purifies wastewater on behalf of another entity or location.
-
D.
wasteManagement
Indicates the handling, treatment, and disposal relationship between entities and the waste materials they produce or manage.
-
E.
drainageProject
Indicates that an entity is involved in or designated as a project focused on constructing, improving, or managing systems for removing excess surface or groundwater from an area.
- F. None of above. chosen
Provenance (4 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad505588190b8c81ce09f1904ec |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:10 p.m.