Triple
T9334569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marib Dam |
E224611
|
entity |
| Predicate | createdIrrigatedArea |
P6177
|
FINISHED |
| Object | up to 25,000 hectares |
—
|
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: up to 25,000 hectares | Statement: [Marib Dam, createdIrrigatedArea, up to 25,000 hectares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdIrrigatedArea Context triple: [Marib Dam, createdIrrigatedArea, up to 25,000 hectares]
-
A.
hasIrrigationArea
chosen
Indicates that an entity possesses or is associated with a specific area of land equipped or designated for irrigation.
-
B.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
C.
usedIrrigation
Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
-
D.
irrigates
Indicates that one entity supplies water to another, typically land or crops, for the purpose of supporting growth or maintaining moisture.
-
E.
developedWithIrrigationDistrict
Indicates that something was created, built, or carried out in collaboration with, or under the auspices of, an irrigation district.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ee53988190bcc76588edbc2858 |
completed | April 1, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:39 p.m.