Triple
T32171190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Trees of Valinor |
E821711
|
entity |
| Predicate | lightPreservedIn |
P120371
|
FINISHED |
| Object | the Silmarils |
—
|
NE NERFINISHED |
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: the Silmarils | Statement: [Two Trees of Valinor, lightPreservedIn, the Silmarils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightPreservedIn Context triple: [Two Trees of Valinor, lightPreservedIn, the Silmarils]
-
A.
lightfastness
Indicates how resistant a material or color is to fading or changing when exposed to light over time.
-
B.
preservedFor
Indicates that something has been kept intact or maintained in a particular state for the benefit, use, or reference of a specified entity or purpose.
-
C.
isPreservedBy
chosen
Indicates that something remains unchanged, intact, or maintained as it is due to the action or influence of a particular agent or process.
-
D.
somePreservedAs
Indicates that at least one part or instance of an entity is kept or maintained in a particular state, form, or condition.
-
E.
preservationFactor
Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba75252c8190991e0bb2c6452745 |
completed | May 3, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:33 a.m.