Triple
T11659029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enderman |
E277076
|
entity |
| Predicate | canSpawnInLightLevel |
P97043
|
FINISHED |
| Object | low light levels |
—
|
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: low light levels | Statement: [Enderman, canSpawnInLightLevel, low light levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSpawnInLightLevel Context triple: [Enderman, canSpawnInLightLevel, low light levels]
-
A.
lightLevel
Indicates the intensity or amount of light present in a given context or environment.
-
B.
isIlluminatedAtNight
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
C.
lightingRequirement
chosen
Indicates the level or type of light that is needed for something to function, grow, or be used properly.
-
D.
hasLanternLightSource
Indicates that an entity uses a lantern as its source of light.
-
E.
hasLighting
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.