Triple
T21116069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethulia |
E520301
|
entity |
| Predicate | waterSupplySituation |
P111434
|
FINISHED |
| Object | suffers from water shortage during siege |
—
|
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: suffers from water shortage during siege | Statement: [Bethulia, waterSupplySituation, suffers from water shortage during siege]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSupplySituation Context triple: [Bethulia, waterSupplySituation, suffers from water shortage during siege]
-
A.
waterSupplyShare
Indicates the proportion of a total water supply that is allocated to or used by a particular entity.
-
B.
waterSourceState
chosen
Indicates the condition or status of a given water source (e.g., whether it is available, functional, or in a particular operational state).
-
C.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
D.
waterFunction
Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
-
E.
waterSource
Indicates that one entity serves as the source or provider of water for 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72106a3b48190a0efa51a74ae21f0 |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:55 p.m.