Triple
T23201678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarir Dalmah |
E580328
|
entity |
| Predicate | waterSourceAccessibility |
P151329
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Sarir Dalmah, waterSourceAccessibility, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSourceAccessibility Context triple: [Sarir Dalmah, waterSourceAccessibility, limited]
-
A.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
B.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
C.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
D.
waterSourceState
Indicates the condition or status of a given water source (e.g., whether it is available, functional, or in a particular operational state).
-
E.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19079c44881909e8677921b08b931 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:06 p.m.