Triple
T11048185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silmarils |
E261181
|
entity |
| Predicate | materialContains |
P78356
|
FINISHED |
| Object | light of the Two Trees |
—
|
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: light of the Two Trees | Statement: [Silmarils, materialContains, light of the Two Trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialContains Context triple: [Silmarils, materialContains, light of the Two Trees]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
C.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
-
D.
materialFound
chosen
Indicates that a particular material is present, discovered, or detected in association with a specified entity or location.
-
E.
materialProvidedFor
Indicates that one entity supplies or makes available a material for use, processing, or incorporation by another entity or purpose.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798315b988190bc565581b2664009 |
completed | April 9, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.