Triple
T17337176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacred Lake of Amun |
E420969
|
entity |
| Predicate | neverDrained |
P127074
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sacred Lake of Amun, neverDrained, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neverDrained Context triple: [Sacred Lake of Amun, neverDrained, true]
-
A.
drainedDuring
Indicates that one entity had its resources, energy, or contents depleted in the course of another event or process.
-
B.
neverFreezes
Indicates that the subject is never in a state of freezing, i.e., it does not reach or experience freezing conditions under any circumstances.
-
C.
drainedFor
Indicates that a resource, substance, or energy is removed from one entity for the benefit, use, or purpose of another entity.
-
D.
drainedFrom
Indicates that a substance, resource, or liquid has been removed or emptied out from a particular source or container.
-
E.
drainedSince
Indicates that one entity has had its contents or resources removed starting from a specific point in time.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a12e1288190a81c30d6e1e9652f |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.