Triple
T29618991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crux region of the Milky Way |
E754941
|
entity |
| Predicate | hasForegroundObject |
P80461
|
FINISHED |
| Object | Coalsack Nebula silhouetted against Milky Way star field |
—
|
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: Coalsack Nebula silhouetted against Milky Way star field | Statement: [Crux region of the Milky Way, hasForegroundObject, Coalsack Nebula silhouetted against Milky Way star field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasForegroundObject Context triple: [Crux region of the Milky Way, hasForegroundObject, Coalsack Nebula silhouetted against Milky Way star field]
-
A.
hasForegroundElement
chosen
Indicates that one element is positioned or perceived as being in the foreground relative to other elements in a scene or composition.
-
B.
hasFront
Indicates that an entity possesses or is associated with a front-facing side, surface, or portion.
-
C.
hasFrontFeature
Indicates that an entity possesses a specific characteristic, component, or attribute located on its front side.
-
D.
hasObstructions
Indicates that one entity is blocking, hindering, or limiting another entity’s movement, function, or access.
-
E.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 28, 2026, 6:33 p.m.