Triple
T8476707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khashm el-Girba Dam |
E200410
|
entity |
| Predicate | reservoirFunction |
P82829
|
FINISHED |
| Object | water storage for dry season irrigation |
—
|
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: water storage for dry season irrigation | Statement: [Khashm el-Girba Dam, reservoirFunction, water storage for dry season irrigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirFunction Context triple: [Khashm el-Girba Dam, reservoirFunction, water storage for dry season irrigation]
-
A.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
B.
reservoirLength
Indicates the measured longitudinal extent of a reservoir from one end to the other.
-
C.
reservoirType
Indicates the specific kind or classification of a reservoir associated with an entity.
-
D.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
-
E.
reservoirCreated
Indicates that a reservoir has been brought into existence, typically through construction or formation by some agent or process.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51e21548190811e3c7ba7b196e5 |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:12 p.m.