Triple
T30496465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Sea coastal hinterland |
E776019
|
entity |
| Predicate | hasWaterAvailability |
P179509
|
FINISHED |
| Object | limited surface water |
—
|
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 surface water | Statement: [Red Sea coastal hinterland, hasWaterAvailability, limited surface water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterAvailability Context triple: [Red Sea coastal hinterland, hasWaterAvailability, limited surface water]
-
A.
hasWaterUse
Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
-
B.
hasWaterServiceFrom
Indicates that one entity receives its water supply or water-related services from another entity.
-
C.
hasDrinkingWaterFacilities
Indicates that a place or facility provides access to safe drinking water sources or infrastructure for people to use.
-
D.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
E.
hasWaterFunction
Indicates that an entity performs, provides, or is associated with a specific function or role related to water.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 29, 2026, 8:14 p.m.