Triple
T32095739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanyar |
E819716
|
entity |
| Predicate | associatedLight |
P206182
|
FINISHED |
| Object | light of the Two Trees of Valinor |
E821711
|
NE 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 of Valinor | Statement: [Vanyar, associatedLight, light of the Two Trees of Valinor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLight Context triple: [Vanyar, associatedLight, light of the Two Trees of Valinor]
-
A.
lightOrganAssociation
Indicates an association between a light source or lighting condition and a specific organ, typically capturing how that organ is affected by, responds to, or is functionally linked with light.
-
B.
laterLightSource
Indicates that one light source occurs or is activated after another in time.
-
C.
isIlluminatedBy
Indicates that one entity receives light from, or is lit up by, another entity.
-
D.
canLight
Indicates that one entity has the ability or capacity to provide or emit light to another entity or environment.
-
E.
featuresLightingBy
Indicates that something includes or showcases lighting created, provided, or designed by a specified entity.
- F. None of above. chosen
Provenance (5 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2eddf93ef88190b5abe8893071548f |
completed | June 14, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:26 a.m.