Triple
T36548177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ages of the Lamps |
E901188
|
entity |
| Predicate | lampIlluminatedRegion |
P11173
|
FINISHED |
| Object | northern regions of Arda |
—
|
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: northern regions of Arda | Statement: [Ages of the Lamps, lampIlluminatedRegion, northern regions of Arda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lampIlluminatedRegion Context triple: [Ages of the Lamps, lampIlluminatedRegion, northern regions of Arda]
-
A.
isIlluminatedBy
Indicates that one entity receives light from, or is lit up by, another entity.
-
B.
isIlluminated
Indicates that one entity provides light to another entity, making it lit or visible.
-
C.
lightOrganLocation
Indicates the anatomical location or placement of a light-producing organ within or on an organism.
-
D.
lightRange
chosen
Indicates the distance or area over which a light source effectively emits or illuminates.
-
E.
lightDistribution
Indicates how light is spatially distributed or spread from a source across a given area or environment.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.