Triple
T9808330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lunar south polar region |
E238206
|
entity |
| Predicate | hasIlluminationCondition |
P42109
|
FINISHED |
| Object | areas of near-permanent darkness |
—
|
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: areas of near-permanent darkness | Statement: [lunar south polar region, hasIlluminationCondition, areas of near-permanent darkness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIlluminationCondition Context triple: [lunar south polar region, hasIlluminationCondition, areas of near-permanent darkness]
-
A.
illuminationCondition
chosen
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
B.
isIlluminatedAtNight
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
C.
hasLighting
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
-
D.
hasLightingEffect
Indicates that one entity applies, produces, or is associated with a particular lighting effect on another entity or environment.
-
E.
hasRelatedIlluminant
Indicates that one entity is associated with another entity that serves as a corresponding or contextually relevant illuminant (light source) for it.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb21ef32c8190ab4b09d157798451 |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.