Triple
T2394419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Nasser |
E47614
|
entity |
| Predicate | typeOfDamReservoir |
P34678
|
FINISHED |
| Object | impoundment reservoir |
—
|
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: impoundment reservoir | Statement: [Lake Nasser, typeOfDamReservoir, impoundment reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDamReservoir Context triple: [Lake Nasser, typeOfDamReservoir, impoundment reservoir]
-
A.
reservoirType
chosen
Indicates the specific kind or classification of a reservoir associated with an entity.
-
B.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
-
C.
reservoirCreatedByDam
Indicates that a reservoir exists as a result of being formed or impounded by a specific dam.
-
D.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
E.
watercourseHasDam
Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc87827d88190bb2351a688e6de32 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.