Triple
T22110755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 2261 |
E546408
|
entity |
| Predicate | illuminationMechanism |
P114137
|
FINISHED |
| Object | starlight scattered by dust |
—
|
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: starlight scattered by dust | Statement: [NGC 2261, illuminationMechanism, starlight scattered by dust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illuminationMechanism Context triple: [NGC 2261, illuminationMechanism, starlight scattered by dust]
-
A.
isIlluminatedBy
Indicates that one entity receives light from, or is lit up by, another entity.
-
B.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
C.
illuminationMedium
chosen
Indicates the medium or method through which illumination or light is produced or delivered in a given context.
-
D.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
E.
hasNumberOfShamashLights
Indicates the relationship specifying how many Shamash (helper) lights are present or associated with an object or setting.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12948c2ec819083340787b2062649 |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.